----------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /project/hauser/users/ksicinsk/public/Papers with Karl/Earnings/Accepted (final)/Replication files/
> Scholz-Sicinski.log
  log type:  text
 opened on:   7 Aug 2014, 16:59:09

. 
. * TABLE 1: Attractiveness and Log Earnings of Men
. * (Follow Neal and Johnson) 
. 
.         xi: regress lwage74 zbeautyf iqscore if female==0 & zerowage74==0 & selfemp74==0  

      Source |       SS       df       MS              Number of obs =    2703
-------------+------------------------------           F(  2,  2700) =  183.36
       Model |  33.7077225     2  16.8538613           Prob > F      =  0.0000
    Residual |  248.168592  2700  .091914293           R-squared     =  0.1196
-------------+------------------------------           Adj R-squared =  0.1189
       Total |  281.876315  2702   .10432136           Root MSE      =  .30317

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |    .019885    .005874     3.39   0.001      .008367     .031403
     iqscore |   .1063536   .0057054    18.64   0.000     .0951662    .1175411
       _cons |   10.61944   .0058411  1818.05   0.000     10.60799     10.6309
------------------------------------------------------------------------------

.                 estimates store a_wage74iq

. 
.         xi:regress lwage92 zbeautyf iqscore if female==0 & zerowage92==0 & selfemp92==0  

      Source |       SS       df       MS              Number of obs =    2220
-------------+------------------------------           F(  2,  2217) =  141.53
       Model |  68.3985577     2  34.1992788           Prob > F      =  0.0000
    Residual |  535.715503  2217   .24163983           R-squared     =  0.1132
-------------+------------------------------           Adj R-squared =  0.1124
       Total |  604.114061  2219  .272246084           Root MSE      =  .49157

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0329329   .0107595     3.06   0.002     .0118331    .0540327
     iqscore |   .1718717   .0104361    16.47   0.000     .1514061    .1923372
       _cons |   10.63621   .0104897  1013.97   0.000     10.61564    10.65678
------------------------------------------------------------------------------

.                 estimates store a_wage92iq

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'74     
  3.         }

.         xi: regress lwage74 zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat  if female==0 & zerowage74==0 & selfemp74==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2445
-------------+------------------------------           F( 36,  2408) =   29.81
       Model |  77.7887254    36  2.16079793           Prob > F      =  0.0000
    Residual |  174.558462  2408  .072491056           R-squared     =  0.3083
-------------+------------------------------           Adj R-squared =  0.2979
       Total |  252.347188  2444  .103251713           Root MSE      =  .26924

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0199021   .0055827     3.56   0.000     .0089547    .0308495
     iqscore |   .0492255   .0063067     7.81   0.000     .0368585    .0615926
      fathed |  -.0027576   .0021256    -1.30   0.195    -.0069257    .0014105
      mothed |   .0026607    .002401     1.11   0.268    -.0020476     .007369
   fathproex |   .0301184    .020088     1.50   0.134    -.0092732    .0695101
      pinc57 |   .0218558   .0097112     2.25   0.025     .0028127     .040899
      farmbg |  -.0012606   .0161952    -0.08   0.938    -.0330186    .0304974
  _Iipop57_2 |   .0202323   .0154456     1.31   0.190    -.0100557    .0505202
  _Iipop57_3 |   .0893571   .0215547     4.15   0.000     .0470894    .1316248
     sibsnum |   .0055069   .0023531     2.34   0.019     .0008925    .0101212
      fullhh |  -.0098224   .0231836    -0.42   0.672    -.0552844    .0356395
 momemployed |   .0109115   .0118143     0.92   0.356    -.0122558    .0340788
      hssize |   .0001033   .0000547     1.89   0.059    -4.08e-06    .0002106
       milty |   .0374605   .0133377     2.81   0.005     .0113059    .0636152
         pop |  -.0006692   .0014863    -0.45   0.653    -.0035838    .0022453
         exp |   .0180337   .0045672     3.95   0.000     .0090776    .0269897
       expsq |  -.0004518   .0002588    -1.75   0.081    -.0009593    .0000556
         mar |    .129872    .017366     7.48   0.000     .0958181     .163926
      tenure |   .0062233   .0012533     4.97   0.000     .0037656    .0086811
       union |  -.0403314   .0128942    -3.13   0.002    -.0656163   -.0150464
      outwis |   .1536877   .0136783    11.24   0.000     .1268652    .1805102
     _Iind_2 |  -.0007997   .1000043    -0.01   0.994    -.1969031    .1953036
     _Iind_3 |   .1130705   .0696528     1.62   0.105    -.0235151    .2496561
     _Iind_4 |     .05986   .0665371     0.90   0.368     -.070616    .1903359
     _Iind_5 |   .1360188     .06894     1.97   0.049      .000831    .2712066
     _Iind_6 |   .0346691   .0681977     0.51   0.611    -.0990631    .1684014
     _Iind_7 |    .023928   .0708882     0.34   0.736    -.1150803    .1629362
     _Iind_8 |   .0174554   .0759272     0.23   0.818     -.131434    .1663449
     _Iind_9 |  -.0616441   .0981449    -0.63   0.530    -.2541013    .1308131
    _Iind_10 |  -.0359271   .1220321    -0.29   0.768    -.2752258    .2033717
    _Iind_11 |    .048951   .0685722     0.71   0.475    -.0855156    .1834175
    _Iind_12 |  -.0430129   .0681984    -0.63   0.528    -.1767465    .0907207
   _Iieduc_2 |   .0763873    .019746     3.87   0.000     .0376663    .1151083
   _Iieduc_3 |   .2557723   .0233357    10.96   0.000     .2100121    .3015324
   _Iieduc_4 |   .3055589   .0282265    10.83   0.000     .2502081    .3609098
      ivocat |   .0492342   .0141488     3.48   0.001      .021489    .0769793
       _cons |   9.975352   .0886802   112.49   0.000     9.801455    10.14925
------------------------------------------------------------------------------

.                 estimates store a_wage74fs

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'92
  3.         }

.         xi:regress lwage92 zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat if female==0 & zerowage92==0 & selfemp92==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1978
-------------+------------------------------           F( 36,  1941) =   30.12
       Model |  195.711957    36  5.43644324           Prob > F      =  0.0000
    Residual |  350.382783  1941  .180516632           R-squared     =  0.3584
-------------+------------------------------           Adj R-squared =  0.3465
       Total |   546.09474  1977  .276223945           Root MSE      =  .42487

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0276032    .010079     2.74   0.006     .0078364    .0473699
     iqscore |   .0702783   .0113068     6.22   0.000     .0481037     .092453
      fathed |    .002494   .0037658     0.66   0.508    -.0048915    .0098795
      mothed |   .0071723   .0042439     1.69   0.091    -.0011507    .0154953
   fathproex |   .0170468   .0350486     0.49   0.627      -.05169    .0857836
      pinc57 |   .0468271   .0173001     2.71   0.007     .0128984    .0807558
      farmbg |   .0278792   .0281908     0.99   0.323    -.0274082    .0831667
  _Iipop57_2 |   .0644926   .0272943     2.36   0.018     .0109633    .1180218
  _Iipop57_3 |   .0471988   .0378687     1.25   0.213    -.0270687    .1214663
     sibsnum |   .0077524   .0041521     1.87   0.062    -.0003905    .0158954
      fullhh |  -.0140584   .0402491    -0.35   0.727    -.0929945    .0648776
 momemployed |  -.0004651   .0208368    -0.02   0.982      -.04133    .0403998
      hssize |  -.0000275   .0000975    -0.28   0.778    -.0002187    .0001637
       milty |   .0630067   .0219765     2.87   0.004     .0199068    .1061067
         pop |   .0021405   .0010565     2.03   0.043     .0000685    .0042126
         exp |  -.0155635   .0115721    -1.34   0.179    -.0382585    .0071315
       expsq |   .0005396   .0002304     2.34   0.019     .0000877    .0009915
         mar |   .1757685   .0280922     6.26   0.000     .1206744    .2308625
      tenure |   .0093585   .0009645     9.70   0.000     .0074669    .0112501
       union |  -.0355053   .0304715    -1.17   0.244    -.0952657    .0242551
      outwis |   .1974563   .0239262     8.25   0.000     .1505325    .2443801
     _Iind_2 |   .3193673   .1987488     1.61   0.108    -.0704163    .7091508
     _Iind_3 |   .1980294   .1211596     1.63   0.102    -.0395871     .435646
     _Iind_4 |   .2776115   .1154548     2.40   0.016     .0511831    .5040399
     _Iind_5 |   .3379733   .1192713     2.83   0.005       .10406    .5718867
     _Iind_6 |   .1562015   .1184221     1.32   0.187    -.0760464    .3884493
     _Iind_7 |   .3780352   .1214707     3.11   0.002     .1398084     .616262
     _Iind_8 |   .2118855   .1268193     1.67   0.095    -.0368307    .4606018
     _Iind_9 |  -.3014337   .1680836    -1.79   0.073    -.6310771    .0282096
    _Iind_10 |   .1519383   .1834885     0.83   0.408     -.207917    .5117936
    _Iind_11 |   .2108419   .1193732     1.77   0.078    -.0232712    .4449551
    _Iind_12 |   .0749455   .1178933     0.64   0.525    -.1562654    .3061564
   _Iieduc_2 |    .200721   .0307718     6.52   0.000     .1403717    .2610703
   _Iieduc_3 |   .4764928   .0371948    12.81   0.000     .4035467    .5494388
   _Iieduc_4 |   .5962814   .0441127    13.52   0.000     .5097682    .6827946
      ivocat |   .0958403   .0246236     3.89   0.000     .0475488    .1441319
       _cons |   9.401408   .2007331    46.84   0.000     9.007733    9.795083
------------------------------------------------------------------------------

.                 estimates store a_wage92fs

. 
. *COEFFICIENT TESTS REQUESTED BY REVIEWERS
.         regress lwage74 zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop74 exp74 expsq74 mar74 tenure74 union74 outwis74 i.ind74 i.ieduc7
> 4 ///
>          ivocat  if female==0 & zerowage74==0 & selfemp74==0

      Source |       SS       df       MS              Number of obs =    2445
-------------+------------------------------           F( 36,  2408) =   29.81
       Model |  77.7887254    36  2.16079793           Prob > F      =  0.0000
    Residual |  174.558462  2408  .072491056           R-squared     =  0.3083
-------------+------------------------------           Adj R-squared =  0.2979
       Total |  252.347188  2444  .103251713           Root MSE      =  .26924

---------------------------------------------------------------------------------------
              lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
             zbeautyf |   .0199021   .0055827     3.56   0.000     .0089547    .0308495
              iqscore |   .0492255   .0063067     7.81   0.000     .0368585    .0615926
               fathed |  -.0027576   .0021256    -1.30   0.195    -.0069257    .0014105
               mothed |   .0026607    .002401     1.11   0.268    -.0020476     .007369
            fathproex |   .0301184    .020088     1.50   0.134    -.0092732    .0695101
               pinc57 |   .0218558   .0097112     2.25   0.025     .0028127     .040899
               farmbg |  -.0012606   .0161952    -0.08   0.938    -.0330186    .0304974
                      |
               ipop57 |
                   2  |   .0202323   .0154456     1.31   0.190    -.0100557    .0505202
                   3  |   .0893571   .0215547     4.15   0.000     .0470894    .1316248
                      |
              sibsnum |   .0055069   .0023531     2.34   0.019     .0008925    .0101212
               fullhh |  -.0098224   .0231836    -0.42   0.672    -.0552844    .0356395
          momemployed |   .0109115   .0118143     0.92   0.356    -.0122558    .0340788
               hssize |   .0001033   .0000547     1.89   0.059    -4.08e-06    .0002106
                milty |   .0374605   .0133377     2.81   0.005     .0113059    .0636152
                pop74 |  -.0006692   .0014863    -0.45   0.653    -.0035838    .0022453
                exp74 |   .0180337   .0045672     3.95   0.000     .0090776    .0269897
              expsq74 |  -.0004518   .0002588    -1.75   0.081    -.0009593    .0000556
                mar74 |    .129872    .017366     7.48   0.000     .0958181     .163926
             tenure74 |   .0062233   .0012533     4.97   0.000     .0037656    .0086811
              union74 |  -.0403314   .0128942    -3.13   0.002    -.0656163   -.0150464
             outwis74 |   .1536877   .0136783    11.24   0.000     .1268652    .1805102
                      |
                ind74 |
              mining  |  -.0007997   .1000043    -0.01   0.994    -.1969031    .1953036
        construction  |   .1130705   .0696528     1.62   0.105    -.0235151    .2496561
       manufacturing  |     .05986   .0665371     0.90   0.368     -.070616    .1903359
     trans/comm/pblc  |   .1360188     .06894     1.97   0.049      .000831    .2712066
   whlsle/retl trade  |   .0346691   .0681977     0.51   0.611    -.0990631    .1684014
fnnc/insrnc/rl estte  |    .023928   .0708882     0.34   0.736    -.1150803    .1629362
biz & repair srvices  |   .0174554   .0759272     0.23   0.818     -.131434    .1663449
   personal services  |  -.0616441   .0981449    -0.63   0.530    -.2541013    .1308131
 entrtnmnt & rcrtion  |  -.0359271   .1220321    -0.29   0.768    -.2752258    .2033717
 public admnstration  |    .048951   .0685722     0.71   0.475    -.0855156    .1834175
prfssnl & rltd srvcs  |  -.0430129   .0681984    -0.63   0.528    -.1767465    .0907207
                      |
              ieduc74 |
        Some college  |   .0763873    .019746     3.87   0.000     .0376663    .1151083
                  BA  |   .2557723   .0233357    10.96   0.000     .2100121    .3015324
       MA and beyond  |   .3055589   .0282265    10.83   0.000     .2502081    .3609098
                      |
               ivocat |   .0492342   .0141488     3.48   0.001      .021489    .0769793
                _cons |   9.975352   .0886802   112.49   0.000     9.801455    10.14925
---------------------------------------------------------------------------------------

.                 estimates store T174fs

. 
.         regress lwage92 zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop92 exp92 expsq92 mar92 tenure92 union92 outwis92 i.ind92 i.ieduc9
> 2 ///
>          ivocat if female==0 & zerowage92==0 & selfemp92==0

      Source |       SS       df       MS              Number of obs =    1978
-------------+------------------------------           F( 36,  1941) =   30.12
       Model |  195.711957    36  5.43644324           Prob > F      =  0.0000
    Residual |  350.382783  1941  .180516632           R-squared     =  0.3584
-------------+------------------------------           Adj R-squared =  0.3465
       Total |   546.09474  1977  .276223945           Root MSE      =  .42487

------------------------------------------------------------------------------------
           lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
          zbeautyf |   .0276032    .010079     2.74   0.006     .0078364    .0473699
           iqscore |   .0702783   .0113068     6.22   0.000     .0481037     .092453
            fathed |    .002494   .0037658     0.66   0.508    -.0048915    .0098795
            mothed |   .0071723   .0042439     1.69   0.091    -.0011507    .0154953
         fathproex |   .0170468   .0350486     0.49   0.627      -.05169    .0857836
            pinc57 |   .0468271   .0173001     2.71   0.007     .0128984    .0807558
            farmbg |   .0278792   .0281908     0.99   0.323    -.0274082    .0831667
                   |
            ipop57 |
                2  |   .0644926   .0272943     2.36   0.018     .0109633    .1180218
                3  |   .0471988   .0378687     1.25   0.213    -.0270687    .1214663
                   |
           sibsnum |   .0077524   .0041521     1.87   0.062    -.0003905    .0158954
            fullhh |  -.0140584   .0402491    -0.35   0.727    -.0929945    .0648776
       momemployed |  -.0004651   .0208368    -0.02   0.982      -.04133    .0403998
            hssize |  -.0000275   .0000975    -0.28   0.778    -.0002187    .0001637
             milty |   .0630067   .0219765     2.87   0.004     .0199068    .1061067
             pop92 |   .0021405   .0010565     2.03   0.043     .0000685    .0042126
             exp92 |  -.0155635   .0115721    -1.34   0.179    -.0382585    .0071315
           expsq92 |   .0005396   .0002304     2.34   0.019     .0000877    .0009915
             mar92 |   .1757685   .0280922     6.26   0.000     .1206744    .2308625
          tenure92 |   .0093585   .0009645     9.70   0.000     .0074669    .0112501
           union92 |  -.0355053   .0304715    -1.17   0.244    -.0952657    .0242551
          outwis92 |   .1974563   .0239262     8.25   0.000     .1505325    .2443801
                   |
             ind92 |
           mining  |   .3193673   .1987488     1.61   0.108    -.0704163    .7091508
     construction  |   .1980294   .1211596     1.63   0.102    -.0395871     .435646
    manufacturing  |   .2776115   .1154548     2.40   0.016     .0511831    .5040399
trns,comm,pub utl  |   .3379733   .1192713     2.83   0.005       .10406    .5718867
  whlsl,rtl trade  |   .1562015   .1184221     1.32   0.187    -.0760464    .3884493
   fnc,insr,rl es  |   .3780352   .1214707     3.11   0.002     .1398084     .616262
 bus,rpr services  |   .2118855   .1268193     1.67   0.095    -.0368307    .4606018
personal services  |  -.3014337   .1680836    -1.79   0.073    -.6310771    .0282096
 entr,recrtn srvc  |   .1519383   .1834885     0.83   0.408     -.207917    .5117936
    pub admnstrtn  |   .2108419   .1193732     1.77   0.078    -.0232712    .4449551
 prfssnl rlt srvc  |   .0749455   .1178933     0.64   0.525    -.1562654    .3061564
                   |
           ieduc92 |
     Some college  |    .200721   .0307718     6.52   0.000     .1403717    .2610703
               BA  |   .4764928   .0371948    12.81   0.000     .4035467    .5494388
    MA and beyond  |   .5962814   .0441127    13.52   0.000     .5097682    .6827946
                   |
            ivocat |   .0958403   .0246236     3.89   0.000     .0475488    .1441319
             _cons |   9.401408   .2007331    46.84   0.000     9.007733    9.795083
------------------------------------------------------------------------------------

.                 estimates store T192fs

. 
.         suest a_wage74iq a_wage92iq

Simultaneous results for a_wage74iq, a_wage92iq

                                                  Number of obs   =       3072

----------------------------------------------------------------------------------
                 |               Robust
                 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
a_wage74iq_mean  |
        zbeautyf |    .019885   .0058029     3.43   0.001     .0085114    .0312585
         iqscore |   .1063536    .005796    18.35   0.000     .0949936    .1177136
           _cons |   10.61944   .0057979  1831.60   0.000     10.60808    10.63081
-----------------+----------------------------------------------------------------
a_wage74iq_lnvar |
           _cons |  -2.386899   .0297699   -80.18   0.000    -2.445247   -2.328551
-----------------+----------------------------------------------------------------
a_wage92iq_mean  |
        zbeautyf |   .0329329   .0106759     3.08   0.002     .0120086    .0538572
         iqscore |   .1718717   .0102642    16.74   0.000     .1517542    .1919892
           _cons |   10.63621   .0102918  1033.47   0.000     10.61604    10.65638
-----------------+----------------------------------------------------------------
a_wage92iq_lnvar |
           _cons |  -1.420307   .0371376   -38.24   0.000    -1.493095   -1.347519
----------------------------------------------------------------------------------

.                 test [a_wage74iq_mean]zbeautyf=[a_wage92iq_mean]zbeautyf

 ( 1)  [a_wage74iq_mean]zbeautyf - [a_wage92iq_mean]zbeautyf = 0

           chi2(  1) =    1.66
         Prob > chi2 =    0.1971

.         suest T174fs T192fs

Simultaneous results for T174fs, T192fs

                                                  Number of obs   =       2754

---------------------------------------------------------------------------------------
                      |               Robust
                      |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
----------------------+----------------------------------------------------------------
T174fs_mean           |
             zbeautyf |   .0199021   .0054443     3.66   0.000     .0092315    .0305726
              iqscore |   .0492255   .0063213     7.79   0.000     .0368361     .061615
               fathed |  -.0027576   .0021619    -1.28   0.202    -.0069949    .0014796
               mothed |   .0026607   .0024075     1.11   0.269     -.002058    .0073794
            fathproex |   .0301184   .0210467     1.43   0.152    -.0111323    .0713692
               pinc57 |   .0218558   .0098973     2.21   0.027     .0024575    .0412542
               farmbg |  -.0012606   .0162111    -0.08   0.938    -.0330337    .0305126
                      |
               ipop57 |
                   2  |   .0202323   .0161517     1.25   0.210    -.0114245     .051889
                   3  |   .0893571   .0233145     3.83   0.000     .0436615    .1350528
                      |
              sibsnum |   .0055069   .0023357     2.36   0.018      .000929    .0100847
               fullhh |  -.0098224   .0251269    -0.39   0.696    -.0590703    .0394254
          momemployed |   .0109115   .0119858     0.91   0.363    -.0125802    .0344031
               hssize |   .0001033   .0000578     1.79   0.074    -9.95e-06    .0002165
                milty |   .0374605   .0133243     2.81   0.005     .0113454    .0635756
                pop74 |  -.0006692   .0030812    -0.22   0.828    -.0067082    .0053697
                exp74 |   .0180337   .0047067     3.83   0.000     .0088086    .0272587
              expsq74 |  -.0004518   .0002594    -1.74   0.082    -.0009603    .0000566
                mar74 |    .129872   .0190228     6.83   0.000     .0925881     .167156
             tenure74 |   .0062233   .0012938     4.81   0.000     .0036876    .0087591
              union74 |  -.0403314   .0126941    -3.18   0.001    -.0652115   -.0154513
             outwis74 |   .1536877   .0139668    11.00   0.000     .1263132    .1810622
                      |
                ind74 |
              mining  |  -.0007997   .1218066    -0.01   0.995    -.2395364    .2379369
        construction  |   .1130705   .0850576     1.33   0.184    -.0536393    .2797803
       manufacturing  |     .05986   .0811781     0.74   0.461    -.0992463    .2189662
     trans/comm/pblc  |   .1360188   .0833326     1.63   0.103    -.0273101    .2993477
   whlsle/retl trade  |   .0346691   .0828341     0.42   0.676    -.1276828     .197021
fnnc/insrnc/rl estte  |    .023928   .0860012     0.28   0.781    -.1446313    .1924872
biz & repair srvices  |   .0174554   .0929392     0.19   0.851    -.1647022     .199613
   personal services  |  -.0616441   .1309272    -0.47   0.638    -.3182566    .1949685
 entrtnmnt & rcrtion  |  -.0359271   .1198402    -0.30   0.764    -.2708095    .1989554
 public admnstration  |    .048951   .0829578     0.59   0.555    -.1136434    .2115453
prfssnl & rltd srvcs  |  -.0430129   .0840809    -0.51   0.609    -.2078084    .1217826
                      |
              ieduc74 |
        Some college  |   .0763873    .019141     3.99   0.000     .0388717     .113903
                  BA  |   .2557723   .0234054    10.93   0.000     .2098985     .301646
       MA and beyond  |   .3055589   .0283962    10.76   0.000     .2499034    .3612145
                      |
               ivocat |   .0492342   .0149957     3.28   0.001     .0198431    .0786253
                _cons |   9.975352   .1014619    98.32   0.000     9.776491    10.17421
----------------------+----------------------------------------------------------------
T174fs_lnvar          |
                _cons |  -2.624292   .0328735   -79.83   0.000    -2.688723   -2.559861
----------------------+----------------------------------------------------------------
T192fs_mean           |
             zbeautyf |   .0276032   .0097951     2.82   0.005     .0084052    .0468011
              iqscore |   .0702783   .0114865     6.12   0.000     .0477652    .0927915
               fathed |    .002494   .0038601     0.65   0.518    -.0050717    .0100596
               mothed |   .0071723   .0040382     1.78   0.076    -.0007424    .0150869
            fathproex |   .0170468   .0380173     0.45   0.654    -.0574658    .0915594
               pinc57 |   .0468271   .0185062     2.53   0.011     .0105555    .0830987
               farmbg |   .0278792   .0267938     1.04   0.298    -.0246356    .0803941
                      |
               ipop57 |
                   2  |   .0644926   .0273452     2.36   0.018     .0108969    .1180882
                   3  |   .0471988   .0399571     1.18   0.238    -.0311156    .1255132
                      |
              sibsnum |   .0077524    .004014     1.93   0.053    -.0001149    .0156197
               fullhh |  -.0140584   .0383629    -0.37   0.714    -.0892483    .0611314
          momemployed |  -.0004651   .0205207    -0.02   0.982    -.0406849    .0397547
               hssize |  -.0000275   .0000988    -0.28   0.781    -.0002211    .0001661
                milty |   .0630067     .02234     2.82   0.005     .0192212    .1067922
                pop92 |   .0021405   .0009685     2.21   0.027     .0002424    .0040387
                exp92 |  -.0155635   .0155918    -1.00   0.318    -.0461228    .0149958
              expsq92 |   .0005396   .0002972     1.82   0.069    -.0000428     .001122
                mar92 |   .1757685    .030038     5.85   0.000     .1168952    .2346418
             tenure92 |   .0093585   .0009894     9.46   0.000     .0074193    .0112977
              union92 |  -.0355053   .0277094    -1.28   0.200    -.0898146     .018804
             outwis92 |   .1974563   .0243834     8.10   0.000     .1496656     .245247
                      |
                ind92 |
              mining  |   .3193673   .1763307     1.81   0.070    -.0262345     .664969
        construction  |   .1980294   .1023666     1.93   0.053    -.0026053    .3986642
       manufacturing  |   .2776115   .0966139     2.87   0.004     .0882518    .4669712
   trns,comm,pub utl  |   .3379733   .1016342     3.33   0.001      .138774    .5371727
     whlsl,rtl trade  |   .1562015   .1011557     1.54   0.123      -.04206    .3544629
      fnc,insr,rl es  |   .3780352   .1088547     3.47   0.001      .164684    .5913864
    bus,rpr services  |   .2118855   .1155346     1.83   0.067    -.0145581    .4383291
   personal services  |  -.3014337   .1689733    -1.78   0.074    -.6326154    .0297479
    entr,recrtn srvc  |   .1519383   .2249102     0.68   0.499    -.2888776    .5927542
       pub admnstrtn  |   .2108419   .0992899     2.12   0.034     .0162372    .4054466
    prfssnl rlt srvc  |   .0749455   .0998618     0.75   0.453    -.1207801    .2706711
                      |
              ieduc92 |
        Some college  |    .200721   .0307959     6.52   0.000     .1403622    .2610798
                  BA  |   .4764928   .0413004    11.54   0.000     .3955455    .5574401
       MA and beyond  |   .5962814   .0478811    12.45   0.000     .5024362    .6901265
                      |
               ivocat |   .0958403   .0246803     3.88   0.000     .0474678    .1442129
                _cons |   9.401408   .2338663    40.20   0.000     8.943038    9.859777
----------------------+----------------------------------------------------------------
T192fs_lnvar          |
                _cons |  -1.711932   .0396982   -43.12   0.000    -1.789739   -1.634125
---------------------------------------------------------------------------------------

.                 test [T174fs_mean]zbeautyf=[T192fs_mean]zbeautyf

 ( 1)  [T174fs_mean]zbeautyf - [T192fs_mean]zbeautyf = 0

           chi2(  1) =    0.65
         Prob > chi2 =    0.4209

. 
. 
. *TABLE 2: Facial Attractiveness, Height and Earnings
. * (Height distinct from beauty)
. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'74     
  3.         }

.         xi: regress lwage74 zbeautyf zheight iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  /
> //
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat  if female==0 & zerowage74==0 & selfemp74==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1769
-------------+------------------------------           F( 37,  1731) =   19.91
       Model |  53.7244376    37  1.45201183           Prob > F      =  0.0000
    Residual |  126.254278  1731  .072937191           R-squared     =  0.2985
-------------+------------------------------           Adj R-squared =  0.2835
       Total |  179.978715  1768  .101797916           Root MSE      =  .27007

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0201331   .0066372     3.03   0.002     .0071153    .0331508
     zheight |   .0229616   .0065571     3.50   0.000     .0101008    .0358223
     iqscore |   .0441595   .0075905     5.82   0.000     .0292721     .059047
      fathed |  -.0049048     .00253    -1.94   0.053     -.009867    .0000574
      mothed |   .0013364    .002822     0.47   0.636    -.0041985    .0068713
   fathproex |   .0514012   .0239436     2.15   0.032     .0044397    .0983627
      pinc57 |   .0254099   .0115878     2.19   0.028     .0026823    .0481375
      farmbg |   .0150943   .0190223     0.79   0.428    -.0222148    .0524034
  _Iipop57_2 |    .030313   .0186747     1.62   0.105    -.0063143    .0669402
  _Iipop57_3 |   .1022071   .0261384     3.91   0.000      .050941    .1534733
     sibsnum |   .0074607   .0027582     2.70   0.007      .002051    .0128704
      fullhh |  -.0229637   .0273338    -0.84   0.401    -.0765745    .0306471
 momemployed |   .0078531   .0140229     0.56   0.576    -.0196504    .0353566
      hssize |   .0000823   .0000663     1.24   0.215    -.0000477    .0002123
       milty |   .0405049   .0158209     2.56   0.011     .0094749     .071535
         pop |  -.0029016   .0016913    -1.72   0.086    -.0062188    .0004157
         exp |   .0166216   .0053933     3.08   0.002     .0060436    .0271996
       expsq |  -.0004066   .0003094    -1.31   0.189    -.0010135    .0002003
         mar |   .1171293   .0214323     5.47   0.000     .0750935    .1591652
      tenure |   .0056366   .0014998     3.76   0.000     .0026951    .0085781
       union |  -.0439451   .0152554    -2.88   0.004     -.073866   -.0140242
      outwis |   .1417036   .0164191     8.63   0.000     .1095002    .1739069
     _Iind_2 |   .0222039   .1091101     0.20   0.839    -.1917976    .2362054
     _Iind_3 |   .0960361   .0833514     1.15   0.249     -.067444    .2595161
     _Iind_4 |   .0814501   .0794444     1.03   0.305     -.074367    .2372672
     _Iind_5 |   .1691698   .0820948     2.06   0.039     .0081543    .3301852
     _Iind_6 |   .0522449   .0818702     0.64   0.523      -.10833    .2128199
     _Iind_7 |   .0519099   .0846243     0.61   0.540    -.1140668    .2178865
     _Iind_8 |   .0315983   .0902458     0.35   0.726     -.145404    .2086006
     _Iind_9 |  -.1762968   .1205891    -1.46   0.144    -.4128124    .0602188
    _Iind_10 |   .0161067   .1577487     0.10   0.919    -.2932914    .3255048
    _Iind_11 |   .0584027   .0815819     0.72   0.474    -.1016068    .2184121
    _Iind_12 |  -.0090236   .0811102    -0.11   0.911    -.1681079    .1500607
   _Iieduc_2 |   .0737369   .0236449     3.12   0.002     .0273614    .1201125
   _Iieduc_3 |   .2524576   .0274744     9.19   0.000     .1985711    .3063441
   _Iieduc_4 |   .2946904   .0332577     8.86   0.000     .2294608    .3599199
      ivocat |   .0590833   .0167962     3.52   0.000     .0261402    .0920263
       _cons |   10.01189   .1059671    94.48   0.000     9.804053    10.21973
------------------------------------------------------------------------------

.                 estimates store hgt74

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'92
  3.         }

.         xi:regress lwage92 zbeautyf zheight iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  //
> /
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat if female==0 & zerowage92==0 & selfemp92==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1666
-------------+------------------------------           F( 37,  1628) =   24.04
       Model |  159.053667    37  4.29874777           Prob > F      =  0.0000
    Residual |  291.163636  1628  .178847442           R-squared     =  0.3533
-------------+------------------------------           Adj R-squared =  0.3386
       Total |  450.217303  1665  .270400783           Root MSE      =   .4229

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0292203   .0109379     2.67   0.008     .0077665    .0506741
     zheight |   .0299346   .0104726     2.86   0.004     .0093935    .0504757
     iqscore |   .0660675   .0124375     5.31   0.000     .0416723    .0904627
      fathed |    .001556   .0040997     0.38   0.704    -.0064853    .0095973
      mothed |   .0075173   .0045767     1.64   0.101    -.0014595    .0164942
   fathproex |   .0258799   .0380567     0.68   0.497    -.0487653    .1005252
      pinc57 |   .0511745   .0188035     2.72   0.007     .0142929    .0880561
      farmbg |   .0183806   .0303724     0.61   0.545    -.0411925    .0779538
  _Iipop57_2 |   .0694056   .0297582     2.33   0.020     .0110372    .1277739
  _Iipop57_3 |   .0228422   .0416002     0.55   0.583    -.0587534    .1044377
     sibsnum |     .00861   .0044957     1.92   0.056    -.0002079    .0174279
      fullhh |  -.0354175    .043758    -0.81   0.418    -.1212454    .0504103
 momemployed |   .0050117   .0226273     0.22   0.825    -.0393699    .0493934
      hssize |  -.0000822   .0001066    -0.77   0.441    -.0002912    .0001268
       milty |   .0668729   .0238745     2.80   0.005      .020045    .1137008
         pop |   .0031424   .0011791     2.67   0.008     .0008297    .0054551
         exp |  -.0318063   .0131973    -2.41   0.016    -.0576918   -.0059209
       expsq |   .0008538   .0002625     3.25   0.001     .0003389    .0013686
         mar |   .1642201   .0311674     5.27   0.000     .1030876    .2253526
      tenure |   .0092267   .0010513     8.78   0.000     .0071646    .0112887
       union |  -.0444732   .0334463    -1.33   0.184    -.1100754    .0211291
      outwis |   .1849307   .0259078     7.14   0.000     .1341146    .2357468
     _Iind_2 |   .2567451    .213556     1.20   0.229    -.1621285    .6756187
     _Iind_3 |   .1643806   .1309407     1.26   0.210    -.0924494    .4212106
     _Iind_4 |   .2344685     .12416     1.89   0.059    -.0090617    .4779987
     _Iind_5 |   .2649313   .1286881     2.06   0.040     .0125196    .5173431
     _Iind_6 |   .1220076    .127496     0.96   0.339    -.1280659     .372081
     _Iind_7 |   .3483053   .1311342     2.66   0.008     .0910958    .6055148
     _Iind_8 |   .1402982   .1365356     1.03   0.304    -.1275059    .4081022
     _Iind_9 |  -.3611609   .1821729    -1.98   0.048    -.7184789    -.003843
    _Iind_10 |   .1456268   .1955504     0.74   0.457    -.2379301    .5291837
    _Iind_11 |   .1489913   .1281965     1.16   0.245    -.1024561    .4004387
    _Iind_12 |   .0378964   .1270886     0.30   0.766     -.211378    .2871707
   _Iieduc_2 |    .211916   .0335082     6.32   0.000     .1461922    .2776398
   _Iieduc_3 |   .4794541   .0405067    11.84   0.000     .4000034    .5589048
   _Iieduc_4 |   .6100398    .048304    12.63   0.000     .5152953    .7047844
      ivocat |   .0941778   .0265813     3.54   0.000     .0420407    .1463149
       _cons |    9.66607   .2234073    43.27   0.000     9.227874    10.10427
------------------------------------------------------------------------------

.                 estimates store hgt92

. 
.         xi: regress lwage74 zbeautyf zheight iqscore if female==0 & zerowage74==0 & selfemp74==0  

      Source |       SS       df       MS              Number of obs =    1948
-------------+------------------------------           F(  3,  1944) =   86.14
       Model |  23.5053059     3  7.83510196           Prob > F      =  0.0000
    Residual |  176.822323  1944  .090957985           R-squared     =  0.1173
-------------+------------------------------           Adj R-squared =  0.1160
       Total |  200.327629  1947  .102890411           Root MSE      =  .30159

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0159719   .0069396     2.30   0.021     .0023621    .0295817
     zheight |   .0329267   .0068996     4.77   0.000     .0193954    .0464581
     iqscore |   .0978792   .0068127    14.37   0.000     .0845182    .1112402
       _cons |   10.62643   .0069035  1539.28   0.000     10.61289    10.63997
------------------------------------------------------------------------------

.                 estimates store hgt74iq

. 
.         xi:regress lwage92 zbeautyf zheight iqscore if female==0 & zerowage92==0 & selfemp92==0  

      Source |       SS       df       MS              Number of obs =    1857
-------------+------------------------------           F(  3,  1853) =   84.76
       Model |  60.0575369     3   20.019179           Prob > F      =  0.0000
    Residual |  437.659964  1853  .236189943           R-squared     =  0.1207
-------------+------------------------------           Adj R-squared =  0.1192
       Total |  497.717501  1856  .268166757           Root MSE      =  .48599

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0292171   .0116508     2.51   0.012      .006367    .0520672
     zheight |   .0474175    .011176     4.24   0.000     .0254986    .0693364
     iqscore |   .1664935   .0114949    14.48   0.000     .1439491    .1890379
       _cons |   10.64818   .0114055   933.60   0.000     10.62581    10.67055
------------------------------------------------------------------------------

.                 estimates store hgt92iq

. 
. *Panel 2: Bauty quintiles (moved to supplementary material)
.         xtile qbeautyf=meanrat if female==0, nq(5)      

. 
.         foreach quintile in 1 2 3 4 5 {
  2.                 gen q`quintile'b=0
  3.                 la var q`quintile'b "Beauty quintile `quintile'"
  4.                 replace q`quintile'b=1 if qbeautyf==`quintile'
  5.         }
(800 real changes made)
(800 real changes made)
(800 real changes made)
(800 real changes made)
(799 real changes made)

. 
.         xi: regress lwage74 q1b q2b q4b q5b iqscore if female==0 & zerowage74==0 & selfemp74==0 

      Source |       SS       df       MS              Number of obs =    2703
-------------+------------------------------           F(  5,  2697) =   74.84
       Model |  34.3434474     5  6.86868947           Prob > F      =  0.0000
    Residual |  247.532867  2697  .091780818           R-squared     =  0.1218
-------------+------------------------------           Adj R-squared =  0.1202
       Total |  281.876315  2702   .10432136           Root MSE      =  .30295

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         q1b |  -.0121969   .0184438    -0.66   0.508    -.0483623    .0239686
         q2b |   -.041787   .0183634    -2.28   0.023    -.0777947   -.0057793
         q4b |   .0134535   .0184803     0.73   0.467    -.0227835    .0496906
         q5b |   .0323741   .0185102     1.75   0.080    -.0039215    .0686697
     iqscore |   .1067656   .0057045    18.72   0.000       .09558    .1179512
       _cons |   10.62126   .0130628   813.09   0.000     10.59564    10.64687
------------------------------------------------------------------------------

.                 estimates store quint_74iq

. 
.         xi: regress lwage92 q1b q2b q4b q5b iqscore if female==0 & zerowage74==0 & selfemp74==0 

      Source |       SS       df       MS              Number of obs =    2262
-------------+------------------------------           F(  5,  2256) =   52.00
       Model |  68.5851493     5  13.7170299           Prob > F      =  0.0000
    Residual |  595.105832  2256  .263788046           R-squared     =  0.1033
-------------+------------------------------           Adj R-squared =  0.1014
       Total |  663.690981  2261  .293538691           Root MSE      =   .5136

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         q1b |  -.0129898   .0343778    -0.38   0.706    -.0804051    .0544256
         q2b |  -.0324702   .0339084    -0.96   0.338    -.0989652    .0340247
         q4b |    .030733   .0337943     0.91   0.363    -.0355382    .0970042
         q5b |    .071448   .0340738     2.10   0.036     .0046287    .1382673
     iqscore |   .1699137   .0107809    15.76   0.000     .1487722    .1910552
       _cons |   10.63377   .0239542   443.92   0.000      10.5868    10.68075
------------------------------------------------------------------------------

.                 estimates store quint_92iq

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'74     
  3.         }

.         xi: regress lwage74 q1b q2b q4b q5b iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  //
> /
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat  if female==0 & zerowage74==0 & selfemp74==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2445
-------------+------------------------------           F( 39,  2405) =   27.61
       Model |  78.0380941    39  2.00097677           Prob > F      =  0.0000
    Residual |  174.309094  2405  .072477794           R-squared     =  0.3092
-------------+------------------------------           Adj R-squared =  0.2980
       Total |  252.347188  2444  .103251713           Root MSE      =  .26922

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         q1b |  -.0183459   .0172809    -1.06   0.289    -.0522328     .015541
         q2b |  -.0350294   .0172611    -2.03   0.043    -.0688776   -.0011811
         q4b |   .0072743   .0174446     0.42   0.677    -.0269338    .0414823
         q5b |   .0300743    .017371     1.73   0.084    -.0039894     .064138
     iqscore |   .0497741   .0063088     7.89   0.000     .0374029    .0621453
      fathed |  -.0028379   .0021279    -1.33   0.182    -.0070106    .0013348
      mothed |   .0027416   .0024015     1.14   0.254    -.0019677    .0074509
   fathproex |   .0300846   .0200916     1.50   0.134    -.0093141    .0694833
      pinc57 |   .0214967   .0097185     2.21   0.027     .0024392    .0405542
      farmbg |  -.0005858   .0162069    -0.04   0.971    -.0323667    .0311951
  _Iipop57_2 |   .0209384   .0154549     1.35   0.176    -.0093679    .0512448
  _Iipop57_3 |   .0907459   .0215885     4.20   0.000      .048412    .1330798
     sibsnum |     .00558    .002357     2.37   0.018      .000958    .0102021
      fullhh |  -.0106893    .023193    -0.46   0.645    -.0561697     .034791
 momemployed |   .0102149    .011834     0.86   0.388    -.0129911    .0334209
      hssize |   .0001039   .0000548     1.90   0.058    -3.53e-06    .0002112
       milty |   .0379578   .0133416     2.85   0.004     .0117956    .0641199
         pop |   -.000636   .0014874    -0.43   0.669    -.0035527    .0022808
         exp |   .0177647   .0045669     3.89   0.000     .0088092    .0267203
       expsq |  -.0004292   .0002588    -1.66   0.097    -.0009368    .0000784
         mar |   .1306896   .0173572     7.53   0.000     .0966529    .1647263
      tenure |   .0061824   .0012539     4.93   0.000     .0037237    .0086412
       union |  -.0394543   .0129073    -3.06   0.002    -.0647649   -.0141436
      outwis |   .1536749   .0136805    11.23   0.000     .1268481    .1805016
     _Iind_2 |   .0045062   .1000073     0.05   0.964    -.1916033    .2006156
     _Iind_3 |   .1174608   .0696521     1.69   0.092    -.0191235    .2540451
     _Iind_4 |   .0642677   .0665577     0.97   0.334    -.0662487    .1947841
     _Iind_5 |   .1400921   .0689456     2.03   0.042     .0048931    .2752911
     _Iind_6 |   .0390357   .0682386     0.57   0.567    -.0947769    .1728483
     _Iind_7 |   .0293077   .0709006     0.41   0.679    -.1097248    .1683402
     _Iind_8 |   .0230305   .0759615     0.30   0.762    -.1259262    .1719872
     _Iind_9 |  -.0540935   .0981749    -0.55   0.582    -.2466095    .1384226
    _Iind_10 |  -.0379039    .122034    -0.31   0.756    -.2772065    .2013988
    _Iind_11 |   .0539142   .0686017     0.79   0.432    -.0806104    .1884388
    _Iind_12 |  -.0396287   .0682052    -0.58   0.561    -.1733758    .0941185
   _Iieduc_2 |   .0786157    .019768     3.98   0.000     .0398515    .1173799
   _Iieduc_3 |   .2573209   .0233465    11.02   0.000     .2115395    .3031022
   _Iieduc_4 |   .3072786   .0282491    10.88   0.000     .2518835    .3626737
      ivocat |    .048939   .0141522     3.46   0.001     .0211872    .0766908
       _cons |   9.973211   .0891923   111.82   0.000      9.79831    10.14811
------------------------------------------------------------------------------

.                 estimates store quintiles_74

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'92
  3.         }

.         xi:regress lwage92 q1b q2b q4b q5b iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat if female==0 & zerowage92==0 & selfemp92==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1978
-------------+------------------------------           F( 39,  1938) =   27.90
       Model |  196.376474    39   5.0352942           Prob > F      =  0.0000
    Residual |  349.718266  1938  .180453182           R-squared     =  0.3596
-------------+------------------------------           Adj R-squared =  0.3467
       Total |   546.09474  1977  .276223945           Root MSE      =   .4248

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         q1b |   -.040772   .0304555    -1.34   0.181     -.100501    .0189571
         q2b |  -.0651294   .0300048    -2.17   0.030    -.1239745   -.0062843
         q4b |   -.005692   .0298252    -0.19   0.849    -.0641849    .0528009
         q5b |   .0285095   .0307591     0.93   0.354    -.0318148    .0888339
     iqscore |   .0712323   .0113156     6.30   0.000     .0490402    .0934244
      fathed |   .0024666   .0037674     0.65   0.513    -.0049218    .0098551
      mothed |   .0072173   .0042477     1.70   0.089    -.0011132    .0155479
   fathproex |    .016996   .0350509     0.48   0.628    -.0517455    .0857375
      pinc57 |   .0469001    .017298     2.71   0.007     .0129755    .0808247
      farmbg |   .0280955    .028197     1.00   0.319    -.0272041    .0833951
  _Iipop57_2 |   .0653084   .0273221     2.39   0.017     .0117246    .1188923
  _Iipop57_3 |   .0486799   .0378848     1.28   0.199    -.0256194    .1229793
     sibsnum |   .0075891   .0041594     1.82   0.068    -.0005682    .0157463
      fullhh |  -.0140103   .0402969    -0.35   0.728    -.0930401    .0650194
 momemployed |  -.0027382    .020886    -0.13   0.896    -.0436996    .0382232
      hssize |  -.0000301   .0000976    -0.31   0.758    -.0002214    .0001612
       milty |   .0636487   .0219861     2.89   0.004     .0205298    .1067677
         pop |   .0021153   .0010564     2.00   0.045     .0000436    .0041871
         exp |   -.016546   .0115947    -1.43   0.154    -.0392855    .0061934
       expsq |   .0005602   .0002309     2.43   0.015     .0001074     .001013
         mar |    .175535   .0281041     6.25   0.000     .1204175    .2306524
      tenure |   .0092943    .000965     9.63   0.000     .0074017    .0111869
       union |   -.035403   .0305059    -1.16   0.246    -.0952307    .0244248
      outwis |   .1977216   .0239321     8.26   0.000     .1507863    .2446568
     _Iind_2 |   .3212953   .1988352     1.62   0.106    -.0686582    .7112488
     _Iind_3 |   .1966504   .1211576     1.62   0.105    -.0409626    .4342634
     _Iind_4 |   .2757843   .1154696     2.39   0.017     .0493266    .5022419
     _Iind_5 |   .3355933   .1192865     2.81   0.005     .1016499    .5695366
     _Iind_6 |   .1516153   .1184379     1.28   0.201    -.0806639    .3838944
     _Iind_7 |   .3743911   .1215071     3.08   0.002     .1360927    .6126896
     _Iind_8 |   .2128031   .1268352     1.68   0.094    -.0359447     .461551
     _Iind_9 |  -.2940459   .1681663    -1.75   0.081    -.6238518    .0357599
    _Iind_10 |    .142698   .1836011     0.78   0.437    -.2173784    .5027744
    _Iind_11 |   .2074265   .1193767     1.74   0.082    -.0266938    .4415467
    _Iind_12 |   .0709247   .1179077     0.60   0.548    -.1603145    .3021639
   _Iieduc_2 |   .2019345   .0307707     6.56   0.000     .1415874    .2622816
   _Iieduc_3 |   .4768568   .0371989    12.82   0.000     .4039027     .549811
   _Iieduc_4 |   .5977928   .0441481    13.54   0.000       .51121    .6843756
      ivocat |   .0956607   .0246303     3.88   0.000     .0473561    .1439654
       _cons |   9.432223   .2013372    46.85   0.000     9.037363    9.827084
------------------------------------------------------------------------------

.                 estimates store quintiles_92

. 
. *TABLE 3: Attractiveness and Health
. 
. *Beauty and health
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'92
  3.         }

.         xi: oprobit ohealth zbeautyf iqscore if female==0 & zerowage92==0 & selfemp92==0  

Iteration 0:   log likelihood = -1879.4058  
Iteration 1:   log likelihood =  -1871.994  
Iteration 2:   log likelihood = -1871.9926  
Iteration 3:   log likelihood = -1871.9926  

Ordered probit regression                         Number of obs   =       2015
                                                  LR chi2(2)      =      14.83
                                                  Prob > chi2     =     0.0006
Log likelihood = -1871.9926                       Pseudo R2       =     0.0039

------------------------------------------------------------------------------
     ohealth |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0387017   .0260598     1.49   0.138    -.0123745     .089778
     iqscore |   .0881779   .0251945     3.50   0.000     .0387976    .1375583
-------------+----------------------------------------------------------------
       /cut1 |  -2.309299   .0821764                     -2.470362   -2.148237
       /cut2 |  -1.208488   .0370113                     -1.281029   -1.135947
       /cut3 |   .6222723   .0302485                      .5629863    .6815583
------------------------------------------------------------------------------

.                 estimates store oprob_iq

. 
.         xi: oprobit ohealth zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat  if female==0 & zerowage92==0 & selfemp92==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

Iteration 0:   log likelihood = -1655.3687  
Iteration 1:   log likelihood = -1592.6336  
Iteration 2:   log likelihood =  -1592.465  
Iteration 3:   log likelihood =  -1592.465  

Ordered probit regression                         Number of obs   =       1802
                                                  LR chi2(36)     =     125.81
                                                  Prob > chi2     =     0.0000
Log likelihood =  -1592.465                       Pseudo R2       =     0.0380

------------------------------------------------------------------------------
     ohealth |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0498723   .0285663     1.75   0.081    -.0061166    .1058612
     iqscore |  -.0525492   .0321976    -1.63   0.103    -.1156553    .0105569
      fathed |   .0104898   .0108705     0.96   0.335    -.0108161    .0317957
      mothed |   .0085658   .0121304     0.71   0.480    -.0152094     .032341
   fathproex |   .1195204    .099638     1.20   0.230    -.0757666    .3148074
      pinc57 |   .0059077   .0488955     0.12   0.904    -.0899258    .1017412
      farmbg |    .201258   .0796369     2.53   0.011     .0451725    .3573435
  _Iipop57_2 |  -.0025462   .0786227    -0.03   0.974    -.1566438    .1515514
  _Iipop57_3 |   .0890707   .1078827     0.83   0.409    -.1223755    .3005168
     sibsnum |   .0027066    .011773     0.23   0.818    -.0203681    .0257814
      fullhh |   .2033349    .116002     1.75   0.080    -.0240249    .4306947
 momemployed |  -.0349226   .0594475    -0.59   0.557    -.1514376    .0815924
      hssize |   .0001169   .0002803     0.42   0.677    -.0004325    .0006663
       milty |   .0955682   .0627055     1.52   0.127    -.0273323    .2184688
         pop |   .0038691    .003219     1.20   0.229      -.00244    .0101783
         exp |   .0591593   .0341219     1.73   0.083    -.0077184     .126037
       expsq |  -.0008999    .000679    -1.33   0.185    -.0022307    .0004309
         mar |   .1825082   .0808665     2.26   0.024     .0240128    .3410037
      tenure |   .0000269   .0027783     0.01   0.992    -.0054185    .0054723
       union |  -.2163702   .0881486    -2.45   0.014    -.3891383   -.0436022
      outwis |   .1319595   .0681676     1.94   0.053    -.0016466    .2655655
     _Iind_2 |  -.9698584   .5196316    -1.87   0.062    -1.988318    .0486008
     _Iind_3 |  -.0523501   .3208962    -0.16   0.870     -.681295    .5765948
     _Iind_4 |  -.0453284   .3021215    -0.15   0.881    -.6374757    .5468189
     _Iind_5 |   .0100353   .3151207     0.03   0.975    -.6075899    .6276605
     _Iind_6 |   .0725407    .311008     0.23   0.816    -.5370237    .6821052
     _Iind_7 |  -.0264174   .3211014    -0.08   0.934    -.6557646    .6029297
     _Iind_8 |   .0867935   .3358245     0.26   0.796    -.5714105    .7449974
     _Iind_9 |   .0412258   .4774342     0.09   0.931     -.894528    .9769797
    _Iind_10 |   .2003052   .5025675     0.40   0.690     -.784709    1.185319
    _Iind_11 |   .1606129   .3137346     0.51   0.609    -.4542956    .7755214
    _Iind_12 |   .0419386   .3097014     0.14   0.892     -.565065    .6489422
   _Iieduc_2 |   .1853283   .0881306     2.10   0.035     .0125955    .3580612
   _Iieduc_3 |   .4193323   .1067748     3.93   0.000     .2100576    .6286071
   _Iieduc_4 |   .5928959   .1273193     4.66   0.000     .3433546    .8424372
      ivocat |   .1720158   .0697462     2.47   0.014     .0353158    .3087158
-------------+----------------------------------------------------------------
       /cut1 |   -.493415   .5762403                     -1.622825    .6359951
       /cut2 |   .6100655   .5711478                     -.5093637    1.729495
       /cut3 |   2.555615   .5739927                       1.43061    3.680621
------------------------------------------------------------------------------

.                 estimates store oprob_fs

. 
. *Beauty and mortality
.         gen dead=livgrad-1      

.         tab dead if female==0

       dead |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      3,042       76.07       76.07
          1 |        957       23.93      100.00
------------+-----------------------------------
      Total |      3,999      100.00

. 
.         xi: dprobit dead zbeautyf iqscore if female==0

Iteration 0:   log likelihood =  -2200.582
Iteration 1:   log likelihood = -2196.7032
Iteration 2:   log likelihood = -2196.7028

Probit regression, reporting marginal effects           Number of obs =   3999
                                                        LR chi2(2)    =   7.76
                                                        Prob > chi2   = 0.0207
Log likelihood = -2196.7028                             Pseudo R2     = 0.0018

------------------------------------------------------------------------------
    dead |      dF/dx   Std. Err.      z    P>|z|     x-bar  [    95% C.I.   ]
---------+--------------------------------------------------------------------
zbeautyf |  -.0094278   .0067181    -1.40   0.161   .001049  -.022595   .00374
 iqscore |  -.0155598   .0065792    -2.36   0.018   .025235  -.028455 -.002665
---------+--------------------------------------------------------------------
  obs. P |   .2393098
 pred. P |   .2389057  (at x-bar)
------------------------------------------------------------------------------
    z and P>|z| correspond to the test of the underlying coefficient being 0

.                 estimates store mortiq

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'74
  3.         }

.         xi: dprobit dead zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>         fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>         ivocat  if female==0 
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

Iteration 0:   log likelihood = -1630.9422
Iteration 1:   log likelihood = -1581.2088
Iteration 2:   log likelihood = -1580.9905
Iteration 3:   log likelihood = -1580.9903

Probit regression, reporting marginal effects           Number of obs =   3137
                                                        LR chi2(36)   =  99.90
                                                        Prob > chi2   = 0.0000
Log likelihood = -1580.9903                             Pseudo R2     = 0.0306

------------------------------------------------------------------------------
    dead |      dF/dx   Std. Err.      z    P>|z|     x-bar  [    95% C.I.   ]
---------+--------------------------------------------------------------------
zbeautyf |  -.0096974   .0073966    -1.31   0.190   .011886  -.024194    .0048
 iqscore |  -.0007174   .0083635    -0.09   0.932   .066438  -.017109  .015675
  fathed |   .0039138   .0028567     1.37   0.171   9.80778  -.001685  .009513
  mothed |   .0051019   .0031963     1.60   0.111   10.6576  -.001163  .011367
fathpr~x*|  -.0237155   .0253541    -0.91   0.363   .114759  -.073409  .025978
  pinc57 |    -.01471   .0129873    -1.13   0.257   3.95165  -.040165  .010745
  farmbg*|  -.0409316   .0207337    -1.90   0.057   .215174  -.081569 -.000294
_Iipop~2*|  -.0202954   .0203364    -0.99   0.322   .378068  -.060154  .019563
_Iipop~3*|  -.0306346   .0269389    -1.10   0.273   .121772  -.083434  .022165
 sibsnum |   .0016397   .0030914     0.53   0.596   3.08671  -.004419  .007699
  fullhh*|   .0132611   .0296452     0.44   0.660   .937839  -.044842  .071365
momemp~d*|   .0315166   .0161483     1.98   0.048   .351291  -.000134  .063167
  hssize |   .0000243    .000073     0.33   0.739   181.359  -.000119  .000167
   milty*|  -.0558355   .0181636    -3.10   0.002   .569653  -.091435 -.020236
     pop |  -.0020027   .0023848    -0.84   0.401   1.13368  -.006677  .002671
     exp |   .0015672   .0063198     0.25   0.804   12.6795  -.010819  .013954
   expsq |  -.0002537   .0003528    -0.72   0.472    184.43  -.000945  .000438
     mar*|  -.0888354   .0259376    -3.68   0.000   .888747  -.139672 -.037999
  tenure |  -.0029923   .0016097    -1.86   0.063   7.39502  -.006147  .000163
   union*|  -.0179206   .0171863    -1.03   0.302   .328977  -.051605  .015764
  outwis*|   .0322956   .0190691     1.73   0.084   .280842  -.005079   .06967
 _Iind_2*|  -.1311204   .0806886    -1.10   0.272   .004144  -.289267  .027026
 _Iind_3*|  -.0459432   .0423418    -1.01   0.311   .067262  -.128932  .037045
 _Iind_4*|   .0484882   .0407027     1.21   0.226   .363723  -.031288  .128264
 _Iind_5*|  -.0051528   .0470803    -0.11   0.913   .069493  -.097429  .087123
 _Iind_6*|   .0676538   .0477627     1.50   0.133   .120179  -.025959  .161267
 _Iind_7*|   .0602028   .0557344     1.15   0.251   .056105  -.049035   .16944
 _Iind_8*|   -.000394   .0593524    -0.01   0.995    .02614  -.116723  .115935
 _Iind_9*|  -.0067225   .0766483    -0.09   0.931   .011476   -.15695  .143505
_Iind_10*|   .0013377   .1363063     0.01   0.992   .003507  -.265818  .268493
_Iind_11*|   .0005206   .0481469     0.01   0.991    .08065  -.093846  .094887
_Iind_12*|   .0322838   .0486626     0.68   0.495   .149506  -.063093  .127661
_Iiedu~2*|  -.0723382   .0218203    -3.01   0.003   .139943  -.115105 -.029571
_Iiedu~3*|  -.1090154    .023347    -3.97   0.000   .145681  -.154775 -.063256
_Iiedu~4*|  -.1457979   .0252435    -4.63   0.000   .170545  -.195274 -.096322
  ivocat*|  -.0018799   .0186993    -0.10   0.920   .193497   -.03853   .03477
---------+--------------------------------------------------------------------
  obs. P |   .2145362
 pred. P |   .2071331  (at x-bar)
------------------------------------------------------------------------------
(*) dF/dx is for discrete change of dummy variable from 0 to 1
    z and P>|z| correspond to the test of the underlying coefficient being 0

.                 estimates store mortfs

. 
. *TABLE 4: Attractiveness and Early Human Capital Formation
. 
.         xi:dprobit indivarsports zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize if female==0 
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

Iteration 0:   log likelihood = -2372.7568
Iteration 1:   log likelihood = -2174.6024
Iteration 2:   log likelihood = -2173.7684
Iteration 3:   log likelihood = -2173.7683

Probit regression, reporting marginal effects           Number of obs =   3431
                                                        LR chi2(13)   = 397.98
                                                        Prob > chi2   = 0.0000
Log likelihood = -2173.7683                             Pseudo R2     = 0.0839

------------------------------------------------------------------------------
indiva~s |      dF/dx   Std. Err.      z    P>|z|     x-bar  [    95% C.I.   ]
---------+--------------------------------------------------------------------
zbeautyf |    .058136   .0090445     6.43   0.000   .013195   .040409  .075863
 iqscore |   .0139257   .0090658     1.54   0.125    .06244  -.003843  .031694
  fathed |   .0067736   .0034194     1.98   0.048   9.82221   .000072  .013476
  mothed |   .0076106   .0038594     1.97   0.049   10.6788   .000046  .015175
fathpr~x*|   .0253756   .0313341     0.81   0.419   .114835  -.036038  .086789
  pinc57 |   .0001436    .015316     0.01   0.993   3.94809  -.029875  .030162
  farmbg*|  -.1013554   .0253041    -3.99   0.000   .215972  -.150951  -.05176
_Iipop~2*|   -.187872   .0244666    -7.54   0.000   .374235  -.235826 -.139918
_Iipop~3*|  -.1759275   .0321591    -5.30   0.000   .124162  -.238958 -.112897
 sibsnum |  -.0044122     .00382    -1.16   0.248   3.07257  -.011899  .003075
  fullhh*|   .0038348   .0370308     0.10   0.917   .936753  -.068744  .076414
momemp~d*|   .0185572   .0191523     0.97   0.333   .355581  -.018981  .056095
  hssize |  -.0007871   .0000883    -8.91   0.000   180.299   -.00096 -.000614
---------+--------------------------------------------------------------------
  obs. P |   .5281259
 pred. P |   .5309128  (at x-bar)
------------------------------------------------------------------------------
(*) dF/dx is for discrete change of dummy variable from 0 to 1
    z and P>|z| correspond to the test of the underlying coefficient being 0

.                 estimates store varsprt

. 
.         xi:dprobit indischgovt zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize if female==0 
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

Iteration 0:   log likelihood = -1674.1746
Iteration 1:   log likelihood = -1507.1115
Iteration 2:   log likelihood = -1503.2408
Iteration 3:   log likelihood = -1503.2317
Iteration 4:   log likelihood = -1503.2317

Probit regression, reporting marginal effects           Number of obs =   3431
                                                        LR chi2(13)   = 341.89
                                                        Prob > chi2   = 0.0000
Log likelihood = -1503.2317                             Pseudo R2     = 0.1021

------------------------------------------------------------------------------
indis~vt |      dF/dx   Std. Err.      z    P>|z|     x-bar  [    95% C.I.   ]
---------+--------------------------------------------------------------------
zbeautyf |   .0333961   .0065629     5.07   0.000   .013195   .020533  .046259
 iqscore |   .0799422   .0067011    11.73   0.000    .06244   .066808  .093076
  fathed |   .0071548    .002467     2.90   0.004   9.82221    .00232   .01199
  mothed |  -.0000368   .0028155    -0.01   0.990   10.6788  -.005555  .005481
fathpr~x*|  -.0064375    .021874    -0.29   0.771   .114835   -.04931  .036435
  pinc57 |   .0161339   .0110412     1.46   0.144   3.94809  -.005507  .037774
  farmbg*|  -.0175182   .0176265    -0.97   0.330   .215972  -.052066  .017029
_Iipop~2*|  -.0501034   .0178019    -2.74   0.006   .374235  -.084994 -.015212
_Iipop~3*|  -.0092914   .0236096    -0.39   0.698   .124162  -.055565  .036983
 sibsnum |  -.0045708   .0028346    -1.61   0.107   3.07257  -.010127  .000985
  fullhh*|  -.0218445    .028154    -0.80   0.422   .936753  -.077025  .033336
momemp~d*|    .017351   .0141499     1.24   0.216   .355581  -.010382  .045084
  hssize |  -.0005397    .000069    -7.73   0.000   180.299  -.000675 -.000404
---------+--------------------------------------------------------------------
  obs. P |   .1911979
 pred. P |   .1645757  (at x-bar)
------------------------------------------------------------------------------
(*) dF/dx is for discrete change of dummy variable from 0 to 1
    z and P>|z| correspond to the test of the underlying coefficient being 0

.                 estimates store studntgov

. 
.         xi:dprobit indiservact zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize if female==0 
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

Iteration 0:   log likelihood = -1388.8124
Iteration 1:   log likelihood = -1284.8532
Iteration 2:   log likelihood =  -1283.558
Iteration 3:   log likelihood = -1283.5569

Probit regression, reporting marginal effects           Number of obs =   3431
                                                        LR chi2(13)   = 210.51
                                                        Prob > chi2   = 0.0000
Log likelihood = -1283.5569                             Pseudo R2     = 0.0758

------------------------------------------------------------------------------
indise~t |      dF/dx   Std. Err.      z    P>|z|     x-bar  [    95% C.I.   ]
---------+--------------------------------------------------------------------
zbeautyf |  -.0080146   .0057482    -1.39   0.163   .013195  -.019281  .003252
 iqscore |   .0339466   .0058374     5.78   0.000    .06244   .022505  .045388
  fathed |   .0054625   .0021547     2.53   0.011   9.82221   .001239  .009686
  mothed |  -.0004918   .0025209    -0.20   0.845   10.6788  -.005433  .004449
fathpr~x*|   .0357667   .0210888     1.81   0.070   .114835  -.005567    .0771
  pinc57 |    .017607   .0099639     1.77   0.077   3.94809  -.001922  .037136
  farmbg*|  -.0532512   .0145333    -3.29   0.001   .215972  -.081736 -.024766
_Iipop~2*|   .0237449    .016648     1.45   0.147   .374235  -.008885  .056374
_Iipop~3*|   .1660854   .0303883     6.57   0.000   .124162   .106525  .225645
 sibsnum |  -.0050454    .002605    -1.93   0.053   3.07257  -.010151   .00006
  fullhh*|   -.016607    .025232    -0.68   0.494   .936753  -.066061  .032847
momemp~d*|   -.021896   .0118613    -1.81   0.070   .355581  -.045144  .001352
  hssize |  -.0003122   .0000586    -5.30   0.000   180.299  -.000427 -.000197
---------+--------------------------------------------------------------------
  obs. P |   .1399009
 pred. P |   .1237355  (at x-bar)
------------------------------------------------------------------------------
(*) dF/dx is for discrete change of dummy variable from 0 to 1
    z and P>|z| correspond to the test of the underlying coefficient being 0

.                 estimates store servicorg

. 
.         xi:regress total zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize if female==0 
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

      Source |       SS       df       MS              Number of obs =    3431
-------------+------------------------------           F( 13,  3417) =   82.13
       Model |  8662.10038    13  666.315414           Prob > F      =  0.0000
    Residual |  27722.4715  3417  8.11310256           R-squared     =  0.2381
-------------+------------------------------           Adj R-squared =  0.2352
       Total |  36384.5718  3430  10.6077469           Root MSE      =  2.8484

------------------------------------------------------------------------------
       total |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .2663348   .0493494     5.40   0.000     .1695775     .363092
     iqscore |   .6874659   .0501072    13.72   0.000     .5892227    .7857091
      fathed |   .1049167    .018829     5.57   0.000     .0679995    .1418339
      mothed |   .0456511    .021291     2.14   0.032     .0039067    .0873955
   fathproex |   .4141078   .1745334     2.37   0.018     .0719074    .7563082
      pinc57 |   .2526332   .0841368     3.00   0.003     .0876697    .4175967
      farmbg |  -.2758134   .1394126    -1.98   0.048     -.549154   -.0024728
  _Iipop57_2 |  -1.536889   .1389727   -11.06   0.000    -1.809368   -1.264411
  _Iipop57_3 |  -1.531337   .1864908    -8.21   0.000    -1.896982   -1.165692
     sibsnum |  -.0496381   .0209105    -2.37   0.018    -.0906364   -.0086398
      fullhh |  -.0421149   .2035087    -0.21   0.836     -.441126    .3568963
 momemployed |   .1325919   .1055574     1.26   0.209      -.07437    .3395539
      hssize |  -.0060964   .0004891   -12.47   0.000    -.0070553   -.0051375
       _cons |   3.439035   .4270065     8.05   0.000     2.601821    4.276249
------------------------------------------------------------------------------

.                 estimates store totalact

. 
. *TABLE 5: Earnings and High School Activities   
. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'74     
  3.         }

.         xi: regress lwage74 zbeautyf indivarsports inonlysports onlyvarsports indischgovt total iqscore fathed
>  mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat  if female==0 & zerowage74==0 & selfemp74==0  
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2445
-------------+------------------------------           F( 41,  2403) =   27.07
       Model |  79.7287079    41  1.94460263           Prob > F      =  0.0000
    Residual |   172.61848  2403  .071834573           R-squared     =  0.3159
-------------+------------------------------           Adj R-squared =  0.3043
       Total |  252.347188  2444  .103251713           Root MSE      =  .26802

-------------------------------------------------------------------------------
      lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
     zbeautyf |   .0164503   .0056077     2.93   0.003     .0054538    .0274468
indivarsports |   .0240319   .0140029     1.72   0.086    -.0034271     .051491
 inonlysports |  -.0323591   .0355295    -0.91   0.363    -.1020307    .0373125
onlyvarsports |   .0439632    .028527     1.54   0.123     -.011977    .0999033
  indischgovt |   .0558442   .0163518     3.42   0.001     .0237792    .0879093
        total |   .0015767   .0025164     0.63   0.531    -.0033578    .0065112
      iqscore |   .0462385   .0063616     7.27   0.000     .0337637    .0587133
       fathed |  -.0029288   .0021207    -1.38   0.167    -.0070874    .0012298
       mothed |   .0024305   .0023927     1.02   0.310    -.0022615    .0071225
    fathproex |   .0315252   .0200186     1.57   0.115    -.0077304    .0707808
       pinc57 |   .0228552   .0096909     2.36   0.018     .0038518    .0418585
       farmbg |   .0012925    .016181     0.08   0.936    -.0304377    .0330227
   _Iipop57_2 |   .0266988   .0156932     1.70   0.089    -.0040748    .0574723
   _Iipop57_3 |   .0909876   .0217273     4.19   0.000     .0483813    .1335938
      sibsnum |   .0058372   .0023458     2.49   0.013     .0012372    .0104371
       fullhh |  -.0094711   .0230925    -0.41   0.682    -.0547544    .0358121
  momemployed |   .0112096   .0117806     0.95   0.341    -.0118915    .0343108
       hssize |   .0001766   .0000575     3.07   0.002     .0000638    .0002894
        milty |    .038179   .0133083     2.87   0.004      .012082     .064276
          pop |  -.0006316   .0014828    -0.43   0.670    -.0035392     .002276
          exp |   .0174465   .0045527     3.83   0.000     .0085188    .0263741
        expsq |  -.0004319   .0002578    -1.67   0.094    -.0009375    .0000737
          mar |   .1277127   .0173348     7.37   0.000       .09372    .1617054
       tenure |   .0061014   .0012485     4.89   0.000     .0036531    .0085497
        union |  -.0390911   .0128536    -3.04   0.002    -.0642965   -.0138858
       outwis |   .1524653   .0136487    11.17   0.000     .1257009    .1792297
      _Iind_2 |  -.0045045   .0995965    -0.05   0.964    -.1998084    .1907994
      _Iind_3 |   .1104383   .0693811     1.59   0.112    -.0256147    .2464913
      _Iind_4 |   .0578207   .0662561     0.87   0.383    -.0721044    .1877458
      _Iind_5 |   .1361854   .0686574     1.98   0.047     .0015516    .2708193
      _Iind_6 |   .0295566   .0679221     0.44   0.663    -.1036354    .1627485
      _Iind_7 |   .0199684   .0705945     0.28   0.777    -.1184641    .1584008
      _Iind_8 |   .0199309   .0756124     0.26   0.792    -.1283413    .1682032
      _Iind_9 |   -.057275   .0977117    -0.59   0.558     -.248883     .134333
     _Iind_10 |  -.0431809   .1215226    -0.36   0.722    -.2814809    .1951192
     _Iind_11 |   .0474157   .0682697     0.69   0.487    -.0864578    .1812893
     _Iind_12 |  -.0495437   .0679186    -0.73   0.466    -.1827288    .0836413
    _Iieduc_2 |   .0693016   .0197217     3.51   0.000     .0306283    .1079749
    _Iieduc_3 |   .2449401   .0233826    10.48   0.000     .1990879    .2907922
    _Iieduc_4 |    .288141   .0284282    10.14   0.000     .2323947    .3438872
       ivocat |   .0500625   .0141116     3.55   0.000     .0223902    .0777347
        _cons |    9.93946   .0888376   111.88   0.000     9.765254    10.11367
-------------------------------------------------------------------------------

.                 estimates store hs_wage74

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'92
  3.         }

.         xi:regress lwage92 zbeautyf indivarsports inonlysports onlyvarsports indischgovt total iqscore fathed 
> mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat if female==0 & zerowage92==0 & selfemp92==0  
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1978
-------------+------------------------------           F( 41,  1936) =   27.00
       Model |   198.67019    41   4.8456144           Prob > F      =  0.0000
    Residual |   347.42455  1936  .179454829           R-squared     =  0.3638
-------------+------------------------------           Adj R-squared =  0.3503
       Total |   546.09474  1977  .276223945           Root MSE      =  .42362

-------------------------------------------------------------------------------
      lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
     zbeautyf |   .0222091   .0101737     2.18   0.029     .0022566    .0421616
indivarsports |    .016703    .024465     0.68   0.495    -.0312776    .0646836
 inonlysports |  -.0549661   .0634437    -0.87   0.386    -.1793912     .069459
onlyvarsports |   .0315643   .0504411     0.63   0.532    -.0673604    .1304889
  indischgovt |   .0642896   .0289666     2.22   0.027     .0074805    .1210986
        total |   .0069776   .0043417     1.61   0.108    -.0015373    .0154926
      iqscore |   .0646438   .0114366     5.65   0.000     .0422145    .0870731
       fathed |    .002066   .0037626     0.55   0.583    -.0053131    .0094451
       mothed |   .0066412   .0042379     1.57   0.117    -.0016702    .0149525
    fathproex |   .0183111   .0350189     0.52   0.601    -.0503676    .0869898
       pinc57 |   .0441291   .0173063     2.55   0.011     .0101882      .07807
       farmbg |   .0332149   .0282565     1.18   0.240    -.0222014    .0886312
   _Iipop57_2 |   .0783618   .0278691     2.81   0.005     .0237052    .1330184
   _Iipop57_3 |    .056183   .0382958     1.47   0.143    -.0189223    .1312883
      sibsnum |   .0081806   .0041451     1.97   0.049     .0000512    .0163101
       fullhh |  -.0098232   .0401773    -0.24   0.807    -.0886186    .0689722
  momemployed |   .0006954   .0208238     0.03   0.973     -.040144    .0415348
       hssize |    .000062   .0001022     0.61   0.544    -.0001384    .0002624
        milty |   .0674005   .0219789     3.07   0.002     .0242956    .1105053
          pop |   .0020941   .0010546     1.99   0.047      .000026    .0041623
          exp |  -.0184613   .0115784    -1.59   0.111    -.0411688    .0042463
        expsq |   .0005903   .0002305     2.56   0.011     .0001383    .0010424
          mar |   .1737168   .0280161     6.20   0.000     .1187719    .2286617
       tenure |   .0093885   .0009631     9.75   0.000     .0074998    .0112773
        union |  -.0367301   .0304041    -1.21   0.227    -.0963584    .0228981
       outwis |   .1989449   .0238946     8.33   0.000     .1520831    .2458068
      _Iind_2 |   .3006941   .1982812     1.52   0.130    -.0881731    .6895613
      _Iind_3 |    .198578   .1208195     1.64   0.100    -.0383721     .435528
      _Iind_4 |    .272659   .1151556     2.37   0.018     .0468169    .4985011
      _Iind_5 |   .3376204   .1189735     2.84   0.005     .1042907    .5709501
      _Iind_6 |   .1512373   .1181324     1.28   0.201    -.0804428    .3829175
      _Iind_7 |   .3716827   .1211826     3.07   0.002     .1340205    .6093449
      _Iind_8 |   .2155013     .12653     1.70   0.089    -.0326482    .4636507
      _Iind_9 |  -.2975935   .1677824    -1.77   0.076    -.6266467    .0314597
     _Iind_10 |   .1374356   .1831281     0.75   0.453    -.2217133    .4965845
     _Iind_11 |   .2094254   .1190651     1.76   0.079    -.0240839    .4429348
     _Iind_12 |   .0684925   .1175866     0.58   0.560    -.1621172    .2991023
    _Iieduc_2 |   .1953966   .0307704     6.35   0.000     .1350501    .2557431
    _Iieduc_3 |   .4632925   .0373677    12.40   0.000     .3900074    .5365776
    _Iieduc_4 |   .5669547   .0447694    12.66   0.000     .4791534    .6547559
       ivocat |   .0963118   .0245971     3.92   0.000     .0480722    .1445514
        _cons |   9.394058   .2006824    46.81   0.000     9.000481    9.787634
-------------------------------------------------------------------------------

.                 estimates store hs_wage92

. 
.         xi: regress lwage74 zbeautyf indivarsports inonlysports onlyvarsports indischgovt total iqscore if fem
> ale==0 & zerowage74==0 & selfemp74==0   

      Source |       SS       df       MS              Number of obs =    2703
-------------+------------------------------           F(  7,  2695) =   58.03
       Model |  36.9225858     7  5.27465511           Prob > F      =  0.0000
    Residual |  244.953729  2695  .090891922           R-squared     =  0.1310
-------------+------------------------------           Adj R-squared =  0.1287
       Total |  281.876315  2702   .10432136           Root MSE      =  .30148

-------------------------------------------------------------------------------
      lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
     zbeautyf |   .0164133   .0058832     2.79   0.005     .0048771    .0279494
indivarsports |   .0309608   .0148391     2.09   0.037     .0018637    .0600579
 inonlysports |  -.0797406   .0373465    -2.14   0.033    -.1529713     -.00651
onlyvarsports |   .0323819   .0292245     1.11   0.268    -.0249228    .0896865
  indischgovt |   .0687297   .0174144     3.95   0.000     .0345827    .1028766
        total |   .0010516   .0024992     0.42   0.674    -.0038488    .0059521
      iqscore |   .0995492    .005961    16.70   0.000     .0878607    .1112378
        _cons |   10.58861   .0098798  1071.74   0.000     10.56924    10.60798
-------------------------------------------------------------------------------

.                 estimates store hs_wage74iq

. 
.         xi:regress lwage92 zbeautyf indivarsports inonlysports onlyvarsports indischgovt total iqscore if fema
> le==0 & zerowage92==0 & selfemp92==0  

      Source |       SS       df       MS              Number of obs =    2220
-------------+------------------------------           F(  7,  2212) =   46.37
       Model |  77.3079214     7  11.0439888           Prob > F      =  0.0000
    Residual |   526.80614  2212  .238158291           R-squared     =  0.1280
-------------+------------------------------           Adj R-squared =  0.1252
       Total |  604.114061  2219  .272246084           Root MSE      =  .48801

-------------------------------------------------------------------------------
      lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
     zbeautyf |   .0265885   .0108071     2.46   0.014     .0053953    .0477816
indivarsports |   .0065254     .02656     0.25   0.806    -.0455598    .0586106
 inonlysports |  -.1317093    .067277    -1.96   0.050     -.263642    .0002233
onlyvarsports |   .0024642    .052256     0.05   0.962    -.1000116    .1049401
  indischgovt |   .0736665   .0307085     2.40   0.017      .013446     .133887
        total |   .0131021   .0043993     2.98   0.003     .0044748    .0217294
      iqscore |   .1548088   .0108426    14.28   0.000     .1335461    .1760714
        _cons |   10.57575   .0178264   593.26   0.000     10.54079    10.61071
-------------------------------------------------------------------------------

.                 estimates store hs_wage92iq

. 
. *TABLE 6: Earnings and Confidence
.         xi: regress lwage74 zbeautyf selfacc92m purplife92m iqscore if female==0 & zerowage74==0 & selfemp74==
> 0

      Source |       SS       df       MS              Number of obs =    1932
-------------+------------------------------           F(  4,  1927) =   76.24
       Model |  27.2339378     4  6.80848445           Prob > F      =  0.0000
    Residual |  172.086344  1927  .089302722           R-squared     =  0.1366
-------------+------------------------------           Adj R-squared =  0.1348
       Total |  199.320282  1931  .103221275           Root MSE      =  .29884

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0144574   .0069152     2.09   0.037     .0008953    .0280195
  selfacc92m |   .0028282   .0016109     1.76   0.079    -.0003311    .0059876
 purplife92m |    .006549   .0017354     3.77   0.000     .0031454    .0099525
     iqscore |   .1033667   .0066913    15.45   0.000     .0902438    .1164897
       _cons |   10.31361    .045768   225.35   0.000     10.22385    10.40337
------------------------------------------------------------------------------

.                 estimates store conf2_74iq 

. 
.         xi:regress lwage92 zbeautyf selfacc92m purplife92m iqscore  if female==0 & zerowage92==0 & selfemp92==
> 0

      Source |       SS       df       MS              Number of obs =    1839
-------------+------------------------------           F(  4,  1834) =   78.39
       Model |  72.7710691     4  18.1927673           Prob > F      =  0.0000
    Residual |    425.6382  1834  .232081897           R-squared     =  0.1460
-------------+------------------------------           Adj R-squared =  0.1441
       Total |  498.409269  1838  .271169352           Root MSE      =  .48175

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0242004   .0116024     2.09   0.037     .0014451    .0469557
  selfacc92m |   .0064197   .0026796     2.40   0.017     .0011644    .0116751
 purplife92m |   .0113979   .0028782     3.96   0.000     .0057529    .0170428
     iqscore |   .1725307   .0113121    15.25   0.000     .1503448    .1947166
       _cons |   10.05062   .0769136   130.67   0.000      9.89977    10.20146
------------------------------------------------------------------------------

.                 estimates store conf2_92iq

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'74     
  3.         }

.         xi: regress lwage74 zbeautyf selfacc92m purplife92m iqscore fathed mothed fathproex pinc57 farmbg i.ip
> op57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat  if female==0 & zerowage74==0 & selfemp74==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1751
-------------+------------------------------           F( 38,  1712) =   19.76
       Model |  54.5832602    38  1.43640158           Prob > F      =  0.0000
    Residual |  124.451126  1712  .072693415           R-squared     =  0.3049
-------------+------------------------------           Adj R-squared =  0.2894
       Total |  179.034386  1750  .102305363           Root MSE      =  .26962

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0190857   .0066848     2.86   0.004     .0059744    .0321969
  selfacc92m |   .0028129   .0015438     1.82   0.069    -.0002151    .0058408
 purplife92m |   .0031364   .0016704     1.88   0.061    -.0001399    .0064127
     iqscore |   .0502608   .0075947     6.62   0.000      .035365    .0651566
      fathed |  -.0050563   .0025545    -1.98   0.048    -.0100665   -.0000461
      mothed |   .0006008    .002842     0.21   0.833    -.0049733    .0061749
   fathproex |   .0575509   .0239942     2.40   0.017     .0104899     .104612
      pinc57 |    .028988   .0115905     2.50   0.012      .006255     .051721
      farmbg |   .0130545   .0190321     0.69   0.493    -.0242742    .0503832
  _Iipop57_2 |   .0303895   .0186769     1.63   0.104    -.0062424    .0670214
  _Iipop57_3 |   .1039107   .0261196     3.98   0.000      .052681    .1551404
     sibsnum |   .0055794    .002765     2.02   0.044     .0001562    .0110025
      fullhh |  -.0263964   .0274554    -0.96   0.336    -.0802461    .0274533
 momemployed |   .0077327   .0140756     0.55   0.583    -.0198745    .0353399
      hssize |   .0000708   .0000661     1.07   0.284    -.0000588    .0002004
       milty |   .0410653   .0158627     2.59   0.010     .0099529    .0721776
         pop |   -.003157   .0016911    -1.87   0.062    -.0064737    .0001598
         exp |   .0136787   .0054241     2.52   0.012     .0030401    .0243173
       expsq |  -.0002478   .0003111    -0.80   0.426    -.0008579    .0003624
         mar |    .096351     .02171     4.44   0.000       .05377     .138932
      tenure |   .0049427    .001504     3.29   0.001     .0019927    .0078926
       union |  -.0362288   .0153303    -2.36   0.018    -.0662969   -.0061608
      outwis |   .1377213   .0164735     8.36   0.000     .1054111    .1700316
     _Iind_2 |   .0592804   .1088384     0.54   0.586    -.1541899    .2727507
     _Iind_3 |   .1282722   .0803848     1.60   0.111    -.0293905    .2859349
     _Iind_4 |   .1157367    .076252     1.52   0.129    -.0338201    .2652935
     _Iind_5 |   .1948325   .0790385     2.47   0.014     .0398103    .3498548
     _Iind_6 |   .0859064   .0787359     1.09   0.275    -.0685223    .2403351
     _Iind_7 |   .0827733    .081659     1.01   0.311    -.0773887    .2429353
     _Iind_8 |   .0716479   .0877426     0.82   0.414     -.100446    .2437419
     _Iind_9 |  -.0661143   .1224004    -0.54   0.589    -.3061843    .1739557
    _Iind_10 |   .0681497   .1562124     0.44   0.663    -.2382375    .3745369
    _Iind_11 |   .0854219   .0785256     1.09   0.277    -.0685944    .2394381
    _Iind_12 |   .0170393   .0780159     0.22   0.827    -.1359772    .1700557
   _Iieduc_2 |   .0772103   .0237845     3.25   0.001     .0305606    .1238601
   _Iieduc_3 |    .260254   .0276792     9.40   0.000     .2059654    .3145425
   _Iieduc_4 |   .2916841   .0334426     8.72   0.000     .2260916    .3572767
      ivocat |   .0582683   .0168446     3.46   0.001     .0252301    .0913065
       _cons |   9.817441   .1114332    88.10   0.000     9.598881      10.036
------------------------------------------------------------------------------

.                 estimates store conf2_74fs

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'92
  3.         }

.         xi:regress lwage92 zbeautyf selfacc92m purplife92m iqscore fathed mothed fathproex pinc57 farmbg i.ipo
> p57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat if female==0 & zerowage92==0 & selfemp92==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1649
-------------+------------------------------           F( 38,  1610) =   24.84
       Model |  166.570191    38  4.38342608           Prob > F      =  0.0000
    Residual |  284.149313  1610  .176490257           R-squared     =  0.3696
-------------+------------------------------           Adj R-squared =  0.3547
       Total |  450.719504  1648  .273494845           Root MSE      =  .42011

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |    .024268   .0109242     2.22   0.026     .0028409    .0456951
  selfacc92m |   .0047594   .0025217     1.89   0.059    -.0001868    .0097057
 purplife92m |   .0081395   .0027109     3.00   0.003     .0028223    .0134566
     iqscore |   .0763448   .0123589     6.18   0.000     .0521036     .100586
      fathed |   .0008064   .0041164     0.20   0.845    -.0072677    .0088805
      mothed |   .0056933    .004588     1.24   0.215    -.0033058    .0146924
   fathproex |   .0291401   .0379329     0.77   0.442    -.0452629     .103543
      pinc57 |   .0522313   .0187494     2.79   0.005     .0154555    .0890071
      farmbg |   .0107277   .0302395     0.35   0.723    -.0485852    .0700406
  _Iipop57_2 |   .0665045   .0295985     2.25   0.025      .008449    .1245601
  _Iipop57_3 |    .039626   .0414719     0.96   0.339    -.0417185    .1209705
     sibsnum |   .0074163   .0044701     1.66   0.097    -.0013515    .0161841
      fullhh |  -.0451605   .0437539    -1.03   0.302    -.1309812    .0406602
 momemployed |   .0127069   .0226183     0.56   0.574    -.0316574    .0570712
      hssize |  -.0000756   .0001058    -0.72   0.475    -.0002831    .0001318
       milty |   .0755081   .0238737     3.16   0.002     .0286813    .1223349
         pop |   .0033286   .0011815     2.82   0.005     .0010112    .0056459
         exp |   -.032833   .0131205    -2.50   0.012    -.0585681   -.0070979
       expsq |   .0008817   .0002611     3.38   0.001     .0003696    .0013939
         mar |   .1455446   .0315394     4.61   0.000      .083682    .2074071
      tenure |   .0092235   .0010505     8.78   0.000     .0071631    .0112839
       union |  -.0414262   .0335035    -1.24   0.216    -.1071412    .0242889
      outwis |   .1751629    .025945     6.75   0.000     .1242734    .2260524
     _Iind_2 |    .266871   .2095875     1.27   0.203    -.1442219    .6779639
     _Iind_3 |   .1658367   .1255543     1.32   0.187    -.0804304    .4121037
     _Iind_4 |   .2434308   .1187689     2.05   0.041     .0104729    .4763886
     _Iind_5 |   .2617509   .1235814     2.12   0.034     .0193536    .5041482
     _Iind_6 |   .1295208   .1223681     1.06   0.290    -.1104967    .3695383
     _Iind_7 |   .3556517   .1262314     2.82   0.005     .1080565    .6032468
     _Iind_8 |   .1510955   .1320775     1.14   0.253    -.1079664    .4101573
     _Iind_9 |  -.3550103   .1834351    -1.94   0.053     -.714807    .0047863
    _Iind_10 |   .1150224   .1916595     0.60   0.548    -.2609059    .4909507
    _Iind_11 |   .1503636   .1229266     1.22   0.221    -.0907493    .3914766
    _Iind_12 |   .0339152   .1218308     0.28   0.781    -.2050484    .2728788
   _Iieduc_2 |   .2028406   .0335026     6.05   0.000     .1371274    .2685539
   _Iieduc_3 |   .4849662   .0405111    11.97   0.000      .405506    .5644263
   _Iieduc_4 |   .6030361    .048391    12.46   0.000     .5081202     .697952
      ivocat |   .0902488   .0265211     3.40   0.001     .0382293    .1422682
       _cons |    9.28121   .2288534    40.56   0.000     8.832328    9.730092
------------------------------------------------------------------------------

.                 estimates store conf2_92fs

. 
.         egen zself=std(selfacc92m) if female==0
(5799 missing values generated)

.         egen zpurp=std(purplife92m) if female==0
(5799 missing values generated)

. 
.         regress zbeautyf zself  if female==0

      Source |       SS       df       MS              Number of obs =    2573
-------------+------------------------------           F(  1,  2571) =    6.69
       Model |   6.6021404     1   6.6021404           Prob > F      =  0.0097
    Residual |   2535.5255  2571  .986202063           R-squared     =  0.0026
-------------+------------------------------           Adj R-squared =  0.0022
       Total |  2542.12764  2572  .988385554           Root MSE      =  .99308

------------------------------------------------------------------------------
    zbeautyf |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       zself |   .0506649   .0195816     2.59   0.010     .0122676    .0890621
       _cons |   .0178017   .0195778     0.91   0.363    -.0205881    .0561915
------------------------------------------------------------------------------

.         regress zbeautyf zself iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 fullhh if female==0

      Source |       SS       df       MS              Number of obs =    2408
-------------+------------------------------           F( 10,  2397) =    3.53
       Model |  34.2744411    10  3.42744411           Prob > F      =  0.0001
    Residual |  2324.60503  2397  .969797677           R-squared     =  0.0145
-------------+------------------------------           Adj R-squared =  0.0104
       Total |  2358.87947  2407   .98000809           Root MSE      =  .98478

------------------------------------------------------------------------------
    zbeautyf |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       zself |   .0439703   .0201094     2.19   0.029     .0045368    .0834038
     iqscore |    .008813   .0208697     0.42   0.673    -.0321115    .0497375
      fathed |    .020168   .0078098     2.58   0.010     .0048534    .0354826
      mothed |    .004201   .0087236     0.48   0.630    -.0129056    .0213076
   fathproex |   .0100094   .0715744     0.14   0.889    -.1303447    .1503636
      pinc57 |   .0474845   .0346007     1.37   0.170    -.0203659    .1153349
      farmbg |   -.054245   .0561721    -0.97   0.334    -.1643959     .055906
             |
      ipop57 |
          2  |   .0282534   .0470822     0.60   0.549    -.0640727    .1205795
          3  |  -.1224614   .0678844    -1.80   0.071    -.2555796    .0106568
             |
      fullhh |  -.0911029   .0816535    -1.12   0.265    -.2512216    .0690159
       _cons |  -.3139743   .1656028    -1.90   0.058    -.6387138    .0107653
------------------------------------------------------------------------------

.         regress zbeautyf zpurp if female==0

      Source |       SS       df       MS              Number of obs =    2573
-------------+------------------------------           F(  1,  2571) =    4.86
       Model |  4.79499853     1  4.79499853           Prob > F      =  0.0276
    Residual |   2537.2024  2571  .986854297           R-squared     =  0.0019
-------------+------------------------------           Adj R-squared =  0.0015
       Total |   2541.9974  2572  .988334913           Root MSE      =  .99341

------------------------------------------------------------------------------
    zbeautyf |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       zpurp |   .0431776    .019588     2.20   0.028     .0047677    .0815876
       _cons |   .0178874   .0195842     0.91   0.361    -.0205151    .0562899
------------------------------------------------------------------------------

.         regress zbeautyf zpurp iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 fullhh if female==0

      Source |       SS       df       MS              Number of obs =    2409
-------------+------------------------------           F( 10,  2398) =    3.53
       Model |  34.2096471    10  3.42096471           Prob > F      =  0.0001
    Residual |  2324.57243  2398  .969379663           R-squared     =  0.0145
-------------+------------------------------           Adj R-squared =  0.0104
       Total |  2358.78208  2408  .979560664           Root MSE      =  .98457

------------------------------------------------------------------------------
    zbeautyf |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       zpurp |   .0461604   .0201438     2.29   0.022     .0066593    .0856614
     iqscore |   .0078766   .0208805     0.38   0.706    -.0330692    .0488223
      fathed |   .0204005   .0077994     2.62   0.009     .0051062    .0356949
      mothed |   .0037577   .0087174     0.43   0.666    -.0133368    .0208521
   fathproex |   .0066431   .0714898     0.09   0.926    -.1335452    .1468314
      pinc57 |   .0477041    .034599     1.38   0.168    -.0201429    .1155512
      farmbg |  -.0564586   .0561438    -1.01   0.315    -.1665539    .0536367
             |
      ipop57 |
          2  |   .0255172   .0470605     0.54   0.588    -.0667662    .1178005
          3  |   -.126193   .0679329    -1.86   0.063    -.2594062    .0070202
             |
      fullhh |  -.0991585   .0816911    -1.21   0.225     -.259351    .0610339
       _cons |  -.3026384   .1657383    -1.83   0.068    -.6276434    .0223666
------------------------------------------------------------------------------

.         regress zself zpurp if female==0

      Source |       SS       df       MS              Number of obs =    2570
-------------+------------------------------           F(  1,  2568) = 2165.66
       Model |  1176.57392     1  1176.57392           Prob > F      =  0.0000
    Residual |  1395.16076  2568  .543286899           R-squared     =  0.4575
-------------+------------------------------           Adj R-squared =  0.4573
       Total |  2571.73467  2569  1.00106449           Root MSE      =  .73708

------------------------------------------------------------------------------
       zself |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
       zpurp |   .6768514   .0145445    46.54   0.000     .6483313    .7053715
       _cons |  -.0005881   .0145395    -0.04   0.968    -.0290984    .0279221
------------------------------------------------------------------------------

. 
. *TABLE 7: Attractiveness and Personality
. 
.         xi:regress extraver92m zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>         fullhh momemployed  hssize if female==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

      Source |       SS       df       MS              Number of obs =    2290
-------------+------------------------------           F( 13,  2276) =    4.28
       Model |  1483.72026    13  114.132328           Prob > F      =  0.0000
    Residual |  60747.7684  2276  26.6905836           R-squared     =  0.0238
-------------+------------------------------           Adj R-squared =  0.0183
       Total |  62231.4886  2289  27.1871947           Root MSE      =  5.1663

------------------------------------------------------------------------------
 extraver92m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .4129881   .1100074     3.75   0.000     .1972629    .6287133
     iqscore |  -.4532263   .1130801    -4.01   0.000    -.6749771   -.2314755
      fathed |   .1154344    .042075     2.74   0.006      .032925    .1979437
      mothed |   .0034285   .0473509     0.07   0.942     -.089427     .096284
   fathproex |   .6816304   .3824525     1.78   0.075    -.0683615    1.431622
      pinc57 |  -.0777884   .1857402    -0.42   0.675    -.4420262    .2864494
      farmbg |  -.0498036   .3084015    -0.16   0.872    -.6545811    .5549739
  _Iipop57_2 |  -.6371376   .3107184    -2.05   0.040    -1.246458   -.0278166
  _Iipop57_3 |  -.5330509   .4188596    -1.27   0.203    -1.354437    .2883357
     sibsnum |  -.0366322   .0464138    -0.79   0.430    -.1276499    .0543856
      fullhh |   .2647112   .4426354     0.60   0.550    -.6032999    1.132722
 momemployed |   .4975814   .2349815     2.12   0.034      .036781    .9583818
      hssize |   .0014425   .0010963     1.32   0.188    -.0007073    .0035924
       _cons |   21.54459   .9557824    22.54   0.000      19.6703    23.41889
------------------------------------------------------------------------------

.                 estimates store extra

. 
.         xi:regress agreeable92m zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>         fullhh momemployed  hssize if female==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

      Source |       SS       df       MS              Number of obs =    2326
-------------+------------------------------           F( 13,  2312) =    4.03
       Model |  1038.82947    13  79.9099592           Prob > F      =  0.0000
    Residual |   45793.953  2312  19.8070731           R-squared     =  0.0222
-------------+------------------------------           Adj R-squared =  0.0167
       Total |  46832.7825  2325  20.1431322           Root MSE      =  4.4505

------------------------------------------------------------------------------
agreeable92m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .1531725   .0942032     1.63   0.104    -.0315591    .3379041
     iqscore |  -.4826804    .096345    -5.01   0.000    -.6716121   -.2937487
      fathed |  -.0474971   .0357913    -1.33   0.185    -.1176836    .0226893
      mothed |   -.008152   .0403868    -0.20   0.840    -.0873501    .0710461
   fathproex |  -.2639199   .3282801    -0.80   0.422    -.9076742    .3798344
      pinc57 |   .1260943   .1588708     0.79   0.427    -.1854499    .4376385
      farmbg |   .0606114   .2627178     0.23   0.818    -.4545758    .5757985
  _Iipop57_2 |  -.3247208   .2662102    -1.22   0.223    -.8467565    .1973148
  _Iipop57_3 |   .2221411   .3565585     0.62   0.533    -.4770667    .9213488
     sibsnum |   .0353312   .0397691     0.89   0.374    -.0426556     .113318
      fullhh |  -.1197011   .3787945    -0.32   0.752    -.8625136    .6231114
 momemployed |  -.3105982   .2005425    -1.55   0.122    -.7038602    .0826639
      hssize |   -.000528   .0009359    -0.56   0.573    -.0023632    .0013073
       _cons |   28.01096   .8181895    34.24   0.000      26.4065    29.61542
------------------------------------------------------------------------------

.                 estimates store agree 

. 
.         xi:regress conscientious92m zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  /
> //
>         fullhh momemployed  hssize if female==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

      Source |       SS       df       MS              Number of obs =    2317
-------------+------------------------------           F( 13,  2303) =    3.03
       Model |  659.306882    13   50.715914           Prob > F      =  0.0002
    Residual |  38498.4057  2303  16.7166329           R-squared     =  0.0168
-------------+------------------------------           Adj R-squared =  0.0113
       Total |  39157.7126  2316  16.9074752           Root MSE      =  4.0886

------------------------------------------------------------------------------
conscien~92m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .1612536    .086915     1.86   0.064    -.0091863    .3316935
     iqscore |  -.4006685   .0889431    -4.50   0.000    -.5750855   -.2262515
      fathed |    .015487   .0330889     0.47   0.640    -.0494002    .0803741
      mothed |  -.0477025   .0370624    -1.29   0.198    -.1203817    .0249767
   fathproex |  -.1256161   .3022323    -0.42   0.678     -.718292    .4670597
      pinc57 |  -.1204344   .1467217    -0.82   0.412    -.4081549     .167286
      farmbg |  -.1876765   .2427337    -0.77   0.439     -.663676    .2883229
  _Iipop57_2 |  -.4176719   .2452894    -1.70   0.089    -.8986831    .0633394
  _Iipop57_3 |   .2523118   .3267821     0.77   0.440    -.3885062    .8931298
     sibsnum |   .0147965   .0365928     0.40   0.686    -.0569618    .0865548
      fullhh |   .3441518   .3520592     0.98   0.328    -.3462343    1.034538
 momemployed |  -.0189302   .1847961    -0.10   0.918    -.3813143    .3434539
      hssize |   .0005992   .0008634     0.69   0.488    -.0010939    .0022924
       _cons |   29.89334   .7554472    39.57   0.000     28.41191    31.37476
------------------------------------------------------------------------------

.                 estimates store conscientious

. 
.         xi:regress neurotic92m zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>         fullhh momemployed  hssize if female==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

      Source |       SS       df       MS              Number of obs =    2327
-------------+------------------------------           F( 13,  2313) =    2.23
       Model |   637.15255    13  49.0117346           Prob > F      =  0.0069
    Residual |   50899.266  2313  22.0057354           R-squared     =  0.0124
-------------+------------------------------           Adj R-squared =  0.0068
       Total |  51536.4186  2326  22.1566718           Root MSE      =   4.691

------------------------------------------------------------------------------
 neurotic92m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |  -.2761585   .0993629    -2.78   0.005    -.4710082   -.0813088
     iqscore |   -.162718   .1018721    -1.60   0.110    -.3624881    .0370522
      fathed |  -.0519612   .0376508    -1.38   0.168     -.125794    .0218717
      mothed |  -.0775341   .0424465    -1.83   0.068    -.1607712     .005703
   fathproex |   .3599314    .348185     1.03   0.301    -.3228559    1.042719
      pinc57 |  -.0537544   .1691002    -0.32   0.751    -.3853581    .2778494
      farmbg |  -.2083248   .2763098    -0.75   0.451    -.7501656    .3335161
  _Iipop57_2 |   .2840731   .2811853     1.01   0.312    -.2673285    .8354746
  _Iipop57_3 |  -.2067201   .3760176    -0.55   0.583    -.9440869    .5306466
     sibsnum |  -.0950289   .0425615    -2.23   0.026    -.1784915   -.0115663
      fullhh |  -.2567759   .4020763    -0.64   0.523    -1.045244    .5316917
 momemployed |  -.0599773   .2117989    -0.28   0.777    -.4753129    .3553582
      hssize |  -.0008764   .0009891    -0.89   0.376     -.002816    .0010632
       _cons |   17.59677   .8651683    20.34   0.000     15.90019    19.29336
------------------------------------------------------------------------------

.                 estimates store neurotic

. 
.         xi:regress open92m zbeautyf iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>         fullhh momemployed  hssize if female==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

      Source |       SS       df       MS              Number of obs =    2281
-------------+------------------------------           F( 13,  2267) =   11.28
       Model |  2843.77322    13  218.751786           Prob > F      =  0.0000
    Residual |  43966.5521  2267  19.3941562           R-squared     =  0.0608
-------------+------------------------------           Adj R-squared =  0.0554
       Total |  46810.3253  2280  20.5308444           Root MSE      =  4.4039

------------------------------------------------------------------------------
     open92m |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .1812143   .0939453     1.93   0.054    -.0030134     .365442
     iqscore |   .7360044    .096601     7.62   0.000     .5465687      .92544
      fathed |   .0718612    .035755     2.01   0.045     .0017453    .1419772
      mothed |   .0687733   .0402615     1.71   0.088    -.0101798    .1477265
   fathproex |   .6064315   .3294852     1.84   0.066    -.0396927    1.252556
      pinc57 |   .1163109   .1590224     0.73   0.465    -.1955337    .4281555
      farmbg |  -.4282049   .2632624    -1.63   0.104    -.9444654    .0880555
  _Iipop57_2 |  -.1925138    .267077    -0.72   0.471    -.7162547    .3312272
  _Iipop57_3 |  -.1678323    .355139    -0.47   0.637    -.8642638    .5285992
     sibsnum |   .0322689   .0403696     0.80   0.424    -.0468963    .1114342
      fullhh |  -.3323024   .3816456    -0.87   0.384    -1.080714    .4161089
 momemployed |   .1613153   .2006451     0.80   0.421     -.232152    .5547825
      hssize |   .0011941   .0009411     1.27   0.205    -.0006515    .0030397
       _cons |   19.91165   .8192176    24.31   0.000     18.30516    21.51815
------------------------------------------------------------------------------

.                 estimates store open

. 
. *TABLE 8: Earnings, Attractiveness and Personality
. 
.         xi: regress lwage74 zbeautyf extraver92m agreeable92m conscientious92m neurotic92m open92m iqscore if 
> female==0 & zerowage74==0 & selfemp74==0

      Source |       SS       df       MS              Number of obs =    1707
-------------+------------------------------           F(  7,  1699) =   39.34
       Model |  24.4609816     7  3.49442594           Prob > F      =  0.0000
    Residual |  150.924231  1699  .088831213           R-squared     =  0.1395
-------------+------------------------------           Adj R-squared =  0.1359
       Total |  175.385212  1706  .102804931           Root MSE      =  .29805

----------------------------------------------------------------------------------
         lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0125683   .0072897     1.72   0.085    -.0017294     .026866
     extraver92m |   .0059034   .0014808     3.99   0.000     .0029989    .0088078
    agreeable92m |   -.004037   .0018191    -2.22   0.027    -.0076049   -.0004692
conscientious92m |   .0051236   .0019321     2.65   0.008     .0013341    .0089131
     neurotic92m |  -.0037687   .0017231    -2.19   0.029    -.0071483   -.0003892
         open92m |   .0024612    .001748     1.41   0.159    -.0009672    .0058896
         iqscore |   .1059328   .0074993    14.13   0.000     .0912239    .1206417
           _cons |   10.46041   .0890981   117.40   0.000     10.28566    10.63516
----------------------------------------------------------------------------------

.                 estimates store pers5_74iq 

. 
.         xi:regress lwage92 zbeautyf extraver92m agreeable92m conscientious92m neurotic92m open92m iqscore  if 
> female==0 & zerowage92==0 & selfemp92==0

      Source |       SS       df       MS              Number of obs =    1618
-------------+------------------------------           F(  7,  1610) =   36.97
       Model |  60.7992014     7  8.68560019           Prob > F      =  0.0000
    Residual |  378.288233  1610  .234961636           R-squared     =  0.1385
-------------+------------------------------           Adj R-squared =  0.1347
       Total |  439.087435  1617  .271544487           Root MSE      =  .48473

----------------------------------------------------------------------------------
         lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0251784   .0124163     2.03   0.043     .0008247    .0495321
     extraver92m |   .0046645   .0025187     1.85   0.064    -.0002757    .0096047
    agreeable92m |  -.0080556   .0030201    -2.67   0.008    -.0139794   -.0021318
conscientious92m |   .0042877   .0032916     1.30   0.193    -.0021687     .010744
     neurotic92m |  -.0068964    .002904    -2.37   0.018    -.0125924   -.0012004
         open92m |   .0141619   .0029316     4.83   0.000     .0084117    .0199121
         iqscore |   .1597752   .0127394    12.54   0.000     .1347877    .1847627
           _cons |   10.44435   .1490159    70.09   0.000     10.15206    10.73663
----------------------------------------------------------------------------------

.                 estimates store pers5_92iq 

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'74     
  3.         }

.         xi: regress lwage74 zbeautyf extraver92m agreeable92m conscientious92m neurotic92m open92m iqscore fat
> hed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat  if female==0 & zerowage74==0 & selfemp74==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1547
-------------+------------------------------           F( 41,  1505) =   16.94
       Model |  49.3494029    41  1.20364397           Prob > F      =  0.0000
    Residual |   106.92226  1505  .071044691           R-squared     =  0.3158
-------------+------------------------------           Adj R-squared =  0.2972
       Total |  156.271663  1546  .101081282           Root MSE      =  .26654

----------------------------------------------------------------------------------
         lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |    .020255   .0070042     2.89   0.004      .006516    .0339939
     extraver92m |   .0034986   .0014351     2.44   0.015     .0006836    .0063136
    agreeable92m |  -.0031762   .0017389    -1.83   0.068    -.0065872    .0002347
conscientious92m |   .0036403   .0018302     1.99   0.047     .0000503    .0072303
     neurotic92m |  -.0029075    .001647    -1.77   0.078    -.0061382    .0003232
         open92m |  -.0005638   .0017207    -0.33   0.743     -.003939    .0028115
         iqscore |   .0541327    .008182     6.62   0.000     .0380834     .070182
          fathed |  -.0053854   .0026887    -2.00   0.045    -.0106594   -.0001114
          mothed |   .0008279   .0030032     0.28   0.783     -.005063    .0067188
       fathproex |   .0600807   .0248316     2.42   0.016     .0113726    .1087889
          pinc57 |   .0256599   .0123499     2.08   0.038      .001435    .0498847
          farmbg |    .024441   .0202214     1.21   0.227    -.0152241     .064106
      _Iipop57_2 |   .0286256   .0196303     1.46   0.145    -.0098799    .0671312
      _Iipop57_3 |   .1185901    .027702     4.28   0.000     .0642514    .1729287
         sibsnum |   .0050447   .0029729     1.70   0.090    -.0007868    .0108761
          fullhh |  -.0108475   .0290916    -0.37   0.709    -.0679119     .046217
     momemployed |  -.0068365   .0148527    -0.46   0.645    -.0359707    .0222977
          hssize |   .0000986   .0000694     1.42   0.156    -.0000375    .0002348
           milty |   .0354665   .0167704     2.11   0.035     .0025707    .0683622
             pop |  -.0037846   .0017766    -2.13   0.033    -.0072694   -.0002997
             exp |   .0130616   .0057045     2.29   0.022     .0018719    .0242513
           expsq |  -.0002462   .0003268    -0.75   0.451    -.0008873    .0003948
             mar |   .1120889   .0228758     4.90   0.000     .0672169    .1569608
          tenure |   .0058891     .00158     3.73   0.000     .0027899    .0089882
           union |  -.0501038   .0163079    -3.07   0.002    -.0820923   -.0181153
          outwis |   .1390109   .0172902     8.04   0.000     .1050954    .1729263
         _Iind_2 |   .0803009   .1179603     0.68   0.496    -.1510832    .3116849
         _Iind_3 |   .1613905   .0907663     1.78   0.076    -.0166513    .3394324
         _Iind_4 |   .1500913   .0862278     1.74   0.082    -.0190481    .3192308
         _Iind_5 |   .2377573   .0890498     2.67   0.008     .0630825     .412432
         _Iind_6 |   .0958378   .0886922     1.08   0.280    -.0781356    .2698112
         _Iind_7 |   .1093346   .0913108     1.20   0.231    -.0697753    .2884444
         _Iind_8 |   .1006689   .0967134     1.04   0.298    -.0890384    .2903762
         _Iind_9 |   .0188883   .1476727     0.13   0.898    -.2707777    .3085544
        _Iind_10 |   .1475081   .1794766     0.82   0.411    -.2045426    .4995589
        _Iind_11 |    .124696   .0884563     1.41   0.159    -.0488147    .2982067
        _Iind_12 |   .0758017   .0877229     0.86   0.388    -.0962704    .2478737
       _Iieduc_2 |   .0703946   .0250678     2.81   0.005     .0212229    .1195662
       _Iieduc_3 |   .2541994   .0287131     8.85   0.000     .1978775    .3105212
       _Iieduc_4 |    .274047   .0349921     7.83   0.000     .2054086    .3426854
          ivocat |   .0443343   .0179724     2.47   0.014     .0090808    .0795878
           _cons |   9.938144   .1464779    67.85   0.000     9.650822    10.22547
----------------------------------------------------------------------------------

.                 estimates store pers5_74fs

. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'92
  3.         }

.         xi:regress lwage92 zbeautyf extraver92m agreeable92m conscientious92m neurotic92m open92m iqscore fath
> ed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat if female==0 & zerowage92==0 & selfemp92==0
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1464
-------------+------------------------------           F( 41,  1422) =   20.65
       Model |  150.846698    41  3.67918775           Prob > F      =  0.0000
    Residual |  253.312642  1422  .178138286           R-squared     =  0.3732
-------------+------------------------------           Adj R-squared =  0.3552
       Total |   404.15934  1463  .276253821           Root MSE      =  .42206

----------------------------------------------------------------------------------
         lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0261416   .0116189     2.25   0.025     .0033496    .0489336
     extraver92m |   .0053467   .0023822     2.24   0.025     .0006738    .0100197
    agreeable92m |  -.0068838    .002838    -2.43   0.015    -.0124509   -.0013167
conscientious92m |   .0037654   .0030849     1.22   0.222     -.002286    .0098168
     neurotic92m |  -.0053457      .0027    -1.98   0.048    -.0106422   -.0000492
         open92m |   .0083917   .0028158     2.98   0.003     .0028682    .0139152
         iqscore |   .0716874   .0135892     5.28   0.000     .0450303    .0983444
          fathed |  -.0029939   .0043663    -0.69   0.493    -.0115589    .0055712
          mothed |   .0087335   .0048853     1.79   0.074    -.0008496    .0183165
       fathproex |   .0563982   .0401017     1.41   0.160    -.0222666    .1350629
          pinc57 |   .0372145   .0203166     1.83   0.067    -.0026391    .0770682
          farmbg |   .0141923   .0326739     0.43   0.664    -.0499019    .0782865
      _Iipop57_2 |   .0725243   .0316026     2.29   0.022     .0105315     .134517
      _Iipop57_3 |   .0478279   .0442544     1.08   0.280     -.038983    .1346388
         sibsnum |   .0070818   .0048631     1.46   0.146    -.0024578    .0166214
          fullhh |  -.0230371   .0466151    -0.49   0.621    -.1144787    .0684046
     momemployed |  -.0071699   .0241959    -0.30   0.767    -.0546335    .0402937
          hssize |  -.0000599   .0001134    -0.53   0.597    -.0002823    .0001625
           milty |     .08937   .0255241     3.50   0.000     .0393011    .1394389
             pop |   .0029716   .0012383     2.40   0.017     .0005424    .0054007
             exp |  -.0330666    .013591    -2.43   0.015    -.0597272   -.0064061
           expsq |   .0009416   .0002722     3.46   0.001     .0004078    .0014755
             mar |   .1743709   .0338548     5.15   0.000     .1079603    .2407815
          tenure |   .0092101   .0011313     8.14   0.000     .0069908    .0114293
           union |  -.0565086   .0362391    -1.56   0.119    -.1275965    .0145792
          outwis |   .1575939   .0277858     5.67   0.000     .1030883    .2120995
         _Iind_2 |   .4227471   .2620167     1.61   0.107    -.0912336    .9367279
         _Iind_3 |   .2394709   .1582234     1.51   0.130    -.0709054    .5498472
         _Iind_4 |    .326832   .1514684     2.16   0.031     .0297065    .6239574
         _Iind_5 |   .3455235   .1556587     2.22   0.027     .0401782    .6508688
         _Iind_6 |   .2046878   .1545997     1.32   0.186    -.0985802    .5079558
         _Iind_7 |    .437048   .1574932     2.78   0.006      .128104     .745992
         _Iind_8 |   .2207124   .1625977     1.36   0.175    -.0982447    .5396694
         _Iind_9 |  -.4435624   .2295145    -1.93   0.053    -.8937859     .006661
        _Iind_10 |   .1232531   .2213307     0.56   0.578    -.3109167    .5574228
        _Iind_11 |   .2275104   .1550203     1.47   0.142    -.0765826    .5316035
        _Iind_12 |   .1222046   .1537673     0.79   0.427    -.1794306    .4238397
       _Iieduc_2 |   .2092667   .0360746     5.80   0.000     .1385017    .2800318
       _Iieduc_3 |   .5143205   .0432259    11.90   0.000     .4295272    .5991137
       _Iieduc_4 |   .6279269   .0517835    12.13   0.000     .5263466    .7295072
          ivocat |   .0864612    .028519     3.03   0.002     .0305174     .142405
           _cons |   9.451447   .2868325    32.95   0.000     8.888787    10.01411
----------------------------------------------------------------------------------

.                 estimates store pers5_92fs

. 
. *TABLE 9: Earnings and All Channels     //RESULTS CHANGE BECAUSE OF NEW ACTIVITIES DATA
. 
.         xi: regress lwage74 zbeautyf indivarsports inonlysports onlyvarsports total selfacc92m purplife92m ext
> raver92m agreeable92m conscientious92m neurotic92m open92m iqscore ///
>         if female==0 & zerowage74==0 & selfemp74==0 

      Source |       SS       df       MS              Number of obs =    1692
-------------+------------------------------           F( 13,  1678) =   23.29
       Model |  26.5777771    13   2.0444444           Prob > F      =  0.0000
    Residual |  147.293457  1678  .087779176           R-squared     =  0.1529
-------------+------------------------------           Adj R-squared =  0.1463
       Total |  173.871234  1691  .102821546           Root MSE      =  .29628

----------------------------------------------------------------------------------
         lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0110598   .0073039     1.51   0.130    -.0032658    .0253854
   indivarsports |   .0304135   .0183021     1.66   0.097    -.0054839     .066311
    inonlysports |  -.0457908   .0469939    -0.97   0.330    -.1379637    .0463821
   onlyvarsports |   .0209267   .0377928     0.55   0.580    -.0531994    .0950527
           total |   .0045397   .0028003     1.62   0.105    -.0009527    .0100321
      selfacc92m |   .0018054    .001816     0.99   0.320    -.0017565    .0053673
     purplife92m |   .0056934   .0020213     2.82   0.005     .0017288     .009658
     extraver92m |   .0033036   .0015609     2.12   0.034     .0002421     .006365
    agreeable92m |  -.0053421   .0018318    -2.92   0.004    -.0089349   -.0017493
conscientious92m |   .0026731   .0020245     1.32   0.187    -.0012976    .0066439
     neurotic92m |  -.0022046   .0018158    -1.21   0.225    -.0057662     .001357
         open92m |   .0012994    .001785     0.73   0.467    -.0022017    .0048006
         iqscore |   .1000856    .007817    12.80   0.000     .0847536    .1154177
           _cons |   10.34306   .0957762   107.99   0.000      10.1552    10.53091
----------------------------------------------------------------------------------

.                 estimates store gdad_74iq 

. 
.         estat hettest

Breusch-Pagan / Cook-Weisberg test for heteroskedasticity 
         Ho: Constant variance
         Variables: fitted values of lwage74

         chi2(1)      =    18.88
         Prob > chi2  =   0.0000

. 
. *Gelbach 
.         xi: b1x2 lwage74 if female==0 & zerowage74==0 & selfemp74==0 , x1all(zbeautyf iqscore) x2all(indivarsp
> orts inonlysports onlyvarsports total selfacc92m purplife92m ///
>          extraver92m agreeable92m conscientious92m neurotic92m open92m) x2delta(g1 = indivarsports inonlysport
> s onlyvarsports total : g2=selfacc92m purplife92m ///
>         : g3=extraver92m agreeable92m conscientious92m neurotic92m open92m) x1only(zbeautyf) 

                                                      Number of obs = 1692


Restricted regression:

. b1x2: reg lwage74 zbeautyf iqscore if female==0 & zerowage74==0 & selfemp74==0      

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0162131   .0073871     2.19   0.028     .0017347    .0306916
     iqscore |   .1062541   .0073323    14.49   0.000      .091883    .1206251
       _cons |    10.6276   .0074699  1422.72   0.000     10.61296    10.64224
------------------------------------------------------------------------------

Unrestricted regression:

. b1x2: reg lwage74 zbeautyf iqscore  indivarsports inonlysports onlyvarsports total selfacc92m purplife92m extr
> aver92m agreeable92m conscientious92m neurotic92m open92m if female==0 & zerowage74==0 & selfemp74==0      
----------------------------------------------------------------------------------
         lwage74 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0110598   .0073039     1.51   0.130    -.0032555    .0253751
         iqscore |   .1000856    .007817    12.80   0.000     .0847646    .1154066
   indivarsports |   .0304135   .0183021     1.66   0.097     -.005458    .0662851
    inonlysports |  -.0457908   .0469939    -0.97   0.330    -.1378972    .0463157
   onlyvarsports |   .0209267   .0377928     0.55   0.580    -.0531459    .0949993
           total |   .0045397   .0028003     1.62   0.105    -.0009487    .0100281
      selfacc92m |   .0018054    .001816     0.99   0.320    -.0017539    .0053648
     purplife92m |   .0056934   .0020213     2.82   0.005     .0017317    .0096551
     extraver92m |   .0033036   .0015609     2.12   0.034     .0002443    .0063628
    agreeable92m |  -.0053421   .0018318    -2.92   0.004    -.0089323   -.0017519
conscientious92m |   .0026731   .0020245     1.32   0.187    -.0012947     .006641
     neurotic92m |  -.0022046   .0018158    -1.21   0.225    -.0057636    .0013544
         open92m |   .0012994    .001785     0.73   0.467    -.0021992    .0047981
           _cons |   10.34306   .0957762   107.99   0.000     10.15534    10.53077
----------------------------------------------------------------------------------

Decomposition of changes in coefficients on x1 vars:

       zbeautyf iqscore

into parts due to these groups:

g1  = indivarsports inonlysports onlyvarsports total

g2 = selfacc92m purplife92m

g3 = extraver92m agreeable92m conscientious92m neurotic92m open92m

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
          g1 |   .0022597    .000953     2.37   0.018     .0003918    .0041276
          g2 |   .0013139   .0009929     1.32   0.186    -.0006321    .0032598
          g3 |   .0015797   .0010319     1.53   0.126    -.0004427    .0036021
        __TC |   .0051533   .0017843     2.89   0.004     .0016561    .0086506
------------------------------------------------------------------------------

Note: The __TC...  line is the sum of all x2 variables' impacts on each x1.
      The reported covariance between this coef and all others is zero.
      This is NOT correct!!

Done with -b1x2-.


. 
.         xi:regress lwage92 zbeautyf indivarsports inonlysports onlyvarsports total selfacc92m purplife92m extr
> aver92m agreeable92m conscientious92m neurotic92m open92m iqscore /// 
>         if female==0 & zerowage92==0 & selfemp92==0  

      Source |       SS       df       MS              Number of obs =    1599
-------------+------------------------------           F( 13,  1585) =   24.78
       Model |  73.1366713    13  5.62589779           Prob > F      =  0.0000
    Residual |  359.865806  1585  .227044673           R-squared     =  0.1689
-------------+------------------------------           Adj R-squared =  0.1621
       Total |  433.002477  1598  .270965255           Root MSE      =  .47649

----------------------------------------------------------------------------------
         lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0216822   .0123589     1.75   0.080    -.0025594    .0459238
   indivarsports |   .0383748   .0302334     1.27   0.205    -.0209268    .0976764
    inonlysports |  -.1297435   .0784335    -1.65   0.098    -.2835879    .0241009
   onlyvarsports |   .0253395   .0626909     0.40   0.686    -.0976263    .1483052
           total |   .0125349   .0045894     2.73   0.006     .0035331    .0215368
      selfacc92m |   .0066296   .0030242     2.19   0.029     .0006977    .0125614
     purplife92m |   .0122711   .0033576     3.65   0.000     .0056852    .0188569
     extraver92m |  -.0009011   .0026038    -0.35   0.729    -.0060083    .0042061
    agreeable92m |   -.010625   .0030148    -3.52   0.000    -.0165384   -.0047115
conscientious92m |  -.0020523   .0034074    -0.60   0.547    -.0087358    .0046311
     neurotic92m |  -.0024476   .0030147    -0.81   0.417    -.0083609    .0034657
         open92m |    .010578   .0029678     3.56   0.000     .0047567    .0163992
         iqscore |   .1469713   .0131061    11.21   0.000     .1212641    .1726785
           _cons |   10.13878   .1587933    63.85   0.000     9.827317    10.45025
----------------------------------------------------------------------------------

.                 estimates store gdad_92iq 

. 
.         estat hettest

Breusch-Pagan / Cook-Weisberg test for heteroskedasticity 
         Ho: Constant variance
         Variables: fitted values of lwage92

         chi2(1)      =    29.58
         Prob > chi2  =   0.0000

. 
. *Gelbach 
.         xi: b1x2 lwage92 if female==0 & zerowage92==0 & selfemp92==0 , x1all(zbeautyf iqscore) x2all(indivarsp
> orts inonlysports onlyvarsports total selfacc92m purplife92m ///
>          extraver92m agreeable92m conscientious92m neurotic92m open92m) x2delta(g1 = indivarsports inonlysport
> s onlyvarsports total : g2=selfacc92m purplife92m ///
>         : g3=extraver92m agreeable92m conscientious92m neurotic92m open92m) x1only(zbeautyf) 

                                                      Number of obs = 1599


Restricted regression:

. b1x2: reg lwage92 zbeautyf iqscore if female==0 & zerowage92==0 & selfemp92==0      

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0276475   .0125855     2.20   0.028     .0029804    .0523147
     iqscore |   .1742831   .0124881    13.96   0.000     .1498069    .1987592
       _cons |   10.65747   .0124901   853.27   0.000     10.63299    10.68195
------------------------------------------------------------------------------

Unrestricted regression:

. b1x2: reg lwage92 zbeautyf iqscore  indivarsports inonlysports onlyvarsports total selfacc92m purplife92m extr
> aver92m agreeable92m conscientious92m neurotic92m open92m if female==0 & zerowage92==0 & selfemp92==0      
----------------------------------------------------------------------------------
         lwage92 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0216822   .0123589     1.75   0.079    -.0025409    .0459052
         iqscore |   .1469713   .0131061    11.21   0.000     .1212838    .1726589
   indivarsports |   .0383748   .0302334     1.27   0.204    -.0208815    .0976311
    inonlysports |  -.1297435   .0784335    -1.65   0.098    -.2834704    .0239834
   onlyvarsports |   .0253395   .0626909     0.40   0.686    -.0975324    .1482113
           total |   .0125349   .0045894     2.73   0.006     .0035399    .0215299
      selfacc92m |   .0066296   .0030242     2.19   0.028     .0007022    .0125569
     purplife92m |   .0122711   .0033576     3.65   0.000     .0056903    .0188518
     extraver92m |  -.0009011   .0026038    -0.35   0.729    -.0060044    .0042022
    agreeable92m |   -.010625   .0030148    -3.52   0.000    -.0165339    -.004716
conscientious92m |  -.0020523   .0034074    -0.60   0.547    -.0087307     .004626
     neurotic92m |  -.0024476   .0030147    -0.81   0.417    -.0083564    .0034612
         open92m |    .010578   .0029678     3.56   0.000     .0047611    .0163948
           _cons |   10.13878   .1587933    63.85   0.000     9.827555    10.45001
----------------------------------------------------------------------------------

Decomposition of changes in coefficients on x1 vars:

       zbeautyf iqscore

into parts due to these groups:

g1  = indivarsports inonlysports onlyvarsports total

g2 = selfacc92m purplife92m

g3 = extraver92m agreeable92m conscientious92m neurotic92m open92m

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
          g1 |   .0044195   .0020966     2.11   0.035     .0003102    .0085288
          g2 |   .0014031   .0023981     0.59   0.558     -.003297    .0061032
          g3 |   .0001427   .0019703     0.07   0.942    -.0037191    .0040045
        __TC |   .0059654    .003703     1.61   0.107    -.0012924    .0132231
------------------------------------------------------------------------------

Note: The __TC...  line is the sum of all x2 variables' impacts on each x1.
      The reported covariance between this coef and all others is zero.
      This is NOT correct!!

Done with -b1x2-.


. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'74     
  3.         }

.         xi: regress lwage74 zbeautyf indivarsports inonlysports onlyvarsports total selfacc92m purplife92m ext
> raver92m agreeable92m conscientious92m neurotic92m open92m iqscore fathed mothed fathproex pinc57 farmbg i.ipo
> p57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat  if female==0 & zerowage74==0 & selfemp74==0  
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1534
-------------+------------------------------           F( 47,  1486) =   15.30
       Model |  50.6967055    47  1.07865331           Prob > F      =  0.0000
    Residual |  104.775775  1486  .070508597           R-squared     =  0.3261
-------------+------------------------------           Adj R-squared =  0.3048
       Total |   155.47248  1533  .101417143           Root MSE      =  .26553

----------------------------------------------------------------------------------
         lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0178075   .0070419     2.53   0.012     .0039943    .0316206
   indivarsports |   .0310713   .0174432     1.78   0.075    -.0031447    .0652873
    inonlysports |  -.0033882   .0450584    -0.08   0.940    -.0917731    .0849966
   onlyvarsports |   .0284287   .0372377     0.76   0.445    -.0446153    .1014727
           total |    .004299   .0028905     1.49   0.137    -.0013709    .0099689
      selfacc92m |   .0022089   .0017308     1.28   0.202    -.0011862    .0056041
     purplife92m |   .0028828   .0019377     1.49   0.137    -.0009181    .0066837
     extraver92m |   .0015992   .0015045     1.06   0.288     -.001352    .0045504
    agreeable92m |   -.004043   .0017565    -2.30   0.021    -.0074885   -.0005974
conscientious92m |   .0018948   .0019217     0.99   0.324    -.0018747    .0056643
     neurotic92m |  -.0017491   .0017469    -1.00   0.317    -.0051757    .0016775
         open92m |  -.0008296   .0017549    -0.47   0.636     -.004272    .0026128
         iqscore |   .0522796   .0082579     6.33   0.000     .0360812     .068478
          fathed |  -.0055626   .0027096    -2.05   0.040    -.0108777   -.0002475
          mothed |  -.0003764   .0030148    -0.12   0.901    -.0062901    .0055373
       fathproex |   .0574633   .0248425     2.31   0.021     .0087332    .1061934
          pinc57 |   .0252834   .0123769     2.04   0.041     .0010053    .0495615
          farmbg |   .0227045   .0204205     1.11   0.266    -.0173516    .0627606
      _Iipop57_2 |    .037261    .019912     1.87   0.062    -.0017975    .0763196
      _Iipop57_3 |   .1236152   .0279629     4.42   0.000     .0687643    .1784661
         sibsnum |   .0047185   .0029731     1.59   0.113    -.0011134    .0105505
          fullhh |  -.0112523   .0290783    -0.39   0.699    -.0682912    .0457866
     momemployed |  -.0079097   .0148696    -0.53   0.595    -.0370773    .0212579
          hssize |   .0001681   .0000734     2.29   0.022     .0000241     .000312
           milty |   .0359512   .0168368     2.14   0.033     .0029248    .0689776
             pop |  -.0038863   .0017782    -2.19   0.029    -.0073743   -.0003983
             exp |   .0115957   .0057117     2.03   0.043     .0003919    .0227995
           expsq |  -.0001673   .0003269    -0.51   0.609    -.0008085    .0004739
             mar |   .1071395   .0231435     4.63   0.000     .0617422    .1525368
          tenure |   .0052985   .0015871     3.34   0.001     .0021853    .0084117
           union |  -.0484049   .0163478    -2.96   0.003     -.080472   -.0163377
          outwis |   .1357179   .0173646     7.82   0.000     .1016561    .1697797
         _Iind_2 |    .059067   .1177314     0.50   0.616    -.1718705    .2900045
         _Iind_3 |   .1473998    .090719     1.62   0.104    -.0305512    .3253507
         _Iind_4 |   .1394746   .0860753     1.62   0.105    -.0293674    .3083167
         _Iind_5 |   .2286668    .088918     2.57   0.010     .0542485     .403085
         _Iind_6 |    .087349   .0885762     0.99   0.324    -.0863988    .2610967
         _Iind_7 |   .1007943    .091305     1.10   0.270     -.078306    .2798946
         _Iind_8 |   .0982703   .0968077     1.02   0.310    -.0916239    .2881645
         _Iind_9 |  -.0014566   .1472927    -0.01   0.992    -.2903803    .2874671
        _Iind_10 |   .1329426   .1789407     0.74   0.458    -.2180606    .4839457
        _Iind_11 |   .1065144   .0883131     1.21   0.228    -.0667172    .2797461
        _Iind_12 |   .0579952   .0876624     0.66   0.508      -.11396    .2299504
       _Iieduc_2 |   .0648732   .0250625     2.59   0.010     .0157115    .1140349
       _Iieduc_3 |   .2514667   .0289969     8.67   0.000     .1945874    .3083459
       _Iieduc_4 |   .2657001   .0352357     7.54   0.000     .1965831    .3348172
          ivocat |   .0439159   .0180502     2.43   0.015     .0085094    .0793225
           _cons |   9.866659   .1502918    65.65   0.000     9.571853    10.16147
----------------------------------------------------------------------------------

.                 estimates store gdad_74fs

. 
.         estat hettest

Breusch-Pagan / Cook-Weisberg test for heteroskedasticity 
         Ho: Constant variance
         Variables: fitted values of lwage74

         chi2(1)      =     0.03
         Prob > chi2  =   0.8659

. 
. *Gelbach
.         xi: b1x2 lwage74 if female==0 & zerowage74==0 & selfemp74==0 , x1all(zbeautyf iqscore fathed mothed fa
> thproex pinc57 farmbg i.ipop57 sibsnum fullhh momemployed hssize milty pop exp expsq mar tenure union outwis i
> .ind i.ieduc ivocat) ///
>         x2all(indivarsports inonlysports onlyvarsports total selfacc92m purplife92m extraver92m agreeable92m c
> onscientious92m neurotic92m open92m) ///
>         x2delta(g1 = indivarsports inonlysports onlyvarsports total : g2 = selfacc92m purplife92m : g3=extrave
> r92m agreeable92m conscientious92m neurotic92m open92m) x1only(zbeautyf) 
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

                                                      Number of obs = 1534


Restricted regression:

. b1x2: reg lwage74 zbeautyf iqscore fathed mothed fathproex pinc57 farmbg _Iipop57_2 _Iipop57_3 sibsnum fullhh 
> momemployed hssize milty pop exp expsq mar tenure union outwis _Iind_2 _Iind_3 _Iind_4 _Iind_5 _Iind_6 _Iind_7
>  _Iind_8 _Iind_9 _Iind_10 _Iind_11 _Iind_12 _Iieduc_2 _Iieduc_3 _Iieduc_4 ivocat if female==0 & zerowage74==0 
> & selfemp74==0      

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0219672   .0070354     3.12   0.002     .0081782    .0357563
     iqscore |   .0514585   .0080864     6.36   0.000     .0356094    .0673075
      fathed |  -.0051379   .0027117    -1.89   0.058    -.0104527    .0001769
      mothed |   .0002915   .0030284     0.10   0.923    -.0056439     .006227
   fathproex |   .0627318   .0250023     2.51   0.012     .0137281    .1117355
      pinc57 |   .0232253   .0124299     1.87   0.062    -.0011369    .0475876
      farmbg |   .0222249   .0204011     1.09   0.276    -.0177606    .0622104
  _Iipop57_2 |   .0286088     .01979     1.45   0.148    -.0101788    .0673965
  _Iipop57_3 |   .1207596   .0278708     4.33   0.000     .0661338    .1753855
     sibsnum |   .0049519   .0029888     1.66   0.098    -.0009061    .0108098
      fullhh |  -.0045687   .0292263    -0.16   0.876    -.0618512    .0527137
 momemployed |  -.0049579   .0149403    -0.33   0.740    -.0342404    .0243246
      hssize |   .0001038   .0000699     1.49   0.137    -.0000332    .0002408
       milty |   .0364053   .0168619     2.16   0.031     .0033566    .0694541
         pop |  -.0041618   .0017815    -2.34   0.019    -.0076535     -.00067
         exp |   .0126664   .0057507     2.20   0.028     .0013952    .0239377
       expsq |  -.0002187   .0003292    -0.66   0.506    -.0008639    .0004265
         mar |   .1219822   .0229507     5.31   0.000     .0769996    .1669648
      tenure |   .0056486   .0015913     3.55   0.000     .0025297    .0087674
       union |  -.0565103   .0162724    -3.47   0.001    -.0884037   -.0246169
      outwis |   .1468959   .0173628     8.46   0.000     .1128654    .1809263
     _Iind_2 |   .0883524   .1185097     0.75   0.456    -.1439224    .3206272
     _Iind_3 |   .1641285   .0912449     1.80   0.072    -.0147083    .3429652
     _Iind_4 |   .1482029   .0866085     1.71   0.087    -.0215466    .3179524
     _Iind_5 |    .244469   .0894882     2.73   0.006     .0690754    .4198626
     _Iind_6 |   .0977975   .0891795     1.10   0.273    -.0769911    .2725862
     _Iind_7 |   .1192574   .0918007     1.30   0.194    -.0606686    .2991834
     _Iind_8 |   .1127475   .0974041     1.16   0.247    -.0781609     .303656
     _Iind_9 |   .0153027   .1481212     0.10   0.918    -.2750096     .305615
    _Iind_10 |   .1243458   .1796962     0.69   0.489    -.2278523     .476544
    _Iind_11 |   .1275367   .0888013     1.44   0.151    -.0465106     .301584
    _Iind_12 |   .0798648   .0881586     0.91   0.365    -.0929229    .2526525
   _Iieduc_2 |    .069739   .0252231     2.76   0.006     .0203025    .1191754
   _Iieduc_3 |   .2575329   .0289726     8.89   0.000     .2007477    .3143181
   _Iieduc_4 |   .2739713   .0351289     7.80   0.000     .2051199    .3428226
      ivocat |   .0484475   .0181604     2.67   0.008     .0128537    .0840413
       _cons |   9.974827   .1153852    86.45   0.000     9.748676    10.20098
------------------------------------------------------------------------------

Unrestricted regression:

. b1x2: reg lwage74 zbeautyf iqscore fathed mothed fathproex pinc57 farmbg _Iipop57_2 _Iipop57_3 sibsnum fullhh 
> momemployed hssize milty pop exp expsq mar tenure union outwis _Iind_2 _Iind_3 _Iind_4 _Iind_5 _Iind_6 _Iind_7
>  _Iind_8 _Iind_9 _Iind_10 _Iind_11 _Iind_12 _Iieduc_2 _Iieduc_3 _Iieduc_4 ivocat  indivarsports inonlysports o
> nlyvarsports total selfacc92m purplife92m extraver92m agreeable92m conscientious92m neurotic92m open92m if fem
> ale==0 & zerowage74==0 & selfemp74==0      
----------------------------------------------------------------------------------
         lwage74 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0178075   .0070419     2.53   0.011     .0040056    .0316093
         iqscore |   .0522796   .0082579     6.33   0.000     .0360944    .0684648
          fathed |  -.0055626   .0027096    -2.05   0.040    -.0108734   -.0002518
          mothed |  -.0003764   .0030148    -0.12   0.901    -.0062853    .0055325
       fathproex |   .0574633   .0248425     2.31   0.021     .0087729    .1061537
          pinc57 |   .0252834   .0123769     2.04   0.041     .0010251    .0495418
          farmbg |   .0227045   .0204205     1.11   0.266     -.017319     .062728
      _Iipop57_2 |    .037261    .019912     1.87   0.061    -.0017657    .0762878
      _Iipop57_3 |   .1236152   .0279629     4.42   0.000     .0688089    .1784214
         sibsnum |   .0047185   .0029731     1.59   0.112    -.0011087    .0105457
          fullhh |  -.0112523   .0290783    -0.39   0.699    -.0682447    .0457402
     momemployed |  -.0079097   .0148696    -0.53   0.595    -.0370535    .0212341
          hssize |   .0001681   .0000734     2.29   0.022     .0000242    .0003119
           milty |   .0359512   .0168368     2.14   0.033     .0029517    .0689507
             pop |  -.0038863   .0017782    -2.19   0.029    -.0073715   -.0004011
             exp |   .0115957   .0057117     2.03   0.042      .000401    .0227904
           expsq |  -.0001673   .0003269    -0.51   0.609     -.000808    .0004733
             mar |   .1071395   .0231435     4.63   0.000     .0617792    .1524999
          tenure |   .0052985   .0015871     3.34   0.001     .0021878    .0084092
           union |  -.0484049   .0163478    -2.96   0.003    -.0804459   -.0163638
          outwis |   .1357179   .0173646     7.82   0.000     .1016839     .169752
         _Iind_2 |    .059067   .1177314     0.50   0.616    -.1716824    .2898164
         _Iind_3 |   .1473998    .090719     1.62   0.104    -.0304063    .3252058
         _Iind_4 |   .1394746   .0860753     1.62   0.105    -.0292299    .3081792
         _Iind_5 |   .2286668    .088918     2.57   0.010     .0543906    .4029429
         _Iind_6 |    .087349   .0885762     0.99   0.324    -.0862572    .2609552
         _Iind_7 |   .1007943    .091305     1.10   0.270    -.0781602    .2797488
         _Iind_8 |   .0982703   .0968077     1.02   0.310    -.0914693    .2880098
         _Iind_9 |  -.0014566   .1472927    -0.01   0.992     -.290145    .2872317
        _Iind_10 |   .1329426   .1789407     0.74   0.458    -.2177747    .4836598
        _Iind_11 |   .1065144   .0883131     1.21   0.228    -.0665761     .279605
        _Iind_12 |   .0579952   .0876624     0.66   0.508    -.1138199    .2298104
       _Iieduc_2 |   .0648732   .0250625     2.59   0.010     .0157515    .1139948
       _Iieduc_3 |   .2514667   .0289969     8.67   0.000     .1946337    .3082996
       _Iieduc_4 |   .2657001   .0352357     7.54   0.000     .1966393    .3347609
          ivocat |   .0439159   .0180502     2.43   0.015     .0085382    .0792936
   indivarsports |   .0310713   .0174432     1.78   0.075    -.0031168    .0652594
    inonlysports |  -.0033882   .0450584    -0.08   0.940    -.0917011    .0849246
   onlyvarsports |   .0284287   .0372377     0.76   0.445    -.0445558    .1014132
           total |    .004299   .0028905     1.49   0.137    -.0013663    .0099643
      selfacc92m |   .0022089   .0017308     1.28   0.202    -.0011834    .0056013
     purplife92m |   .0028828   .0019377     1.49   0.137     -.000915    .0066806
     extraver92m |   .0015992   .0015045     1.06   0.288    -.0013495     .004548
    agreeable92m |   -.004043   .0017565    -2.30   0.021    -.0074857   -.0006002
conscientious92m |   .0018948   .0019217     0.99   0.324    -.0018716    .0056613
     neurotic92m |  -.0017491   .0017469    -1.00   0.317    -.0051729    .0016747
         open92m |  -.0008296   .0017549    -0.47   0.636    -.0042692      .00261
           _cons |   9.866659   .1502918    65.65   0.000     9.572093    10.16123
----------------------------------------------------------------------------------

Decomposition of changes in coefficients on x1 vars:

       zbeautyf iqscore fathed mothed fathproex pinc57 farmbg _Iipop57_2 _Iipop57_3 sibsnum fullhh momemployed h
> ssize milty pop exp expsq mar tenure union outwis _Iind_2 _Iind_3 _Iind_4 _Iind_5 _Iind_6 _Iind_7 _Iind_8 _Iin
> d_9 _Iind_10 _Iind_11 _Iind_12 _Iieduc_2 _Iieduc_3 _Iieduc_4 ivocat

into parts due to these groups:

g1  = indivarsports inonlysports onlyvarsports total

g2  = selfacc92m purplife92m

g3 = extraver92m agreeable92m conscientious92m neurotic92m open92m

------------------------------------------------------------------------------
     lwage74 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
          g1 |   .0027557   .0010501     2.62   0.009     .0006976    .0048138
          g2 |   .0010464   .0007616     1.37   0.169    -.0004463    .0025392
          g3 |   .0003577   .0008787     0.41   0.684    -.0013646    .0020799
        __TC |   .0041598   .0014979     2.78   0.005     .0012239    .0070956
------------------------------------------------------------------------------

Note: The __TC...  line is the sum of all x2 variables' impacts on each x1.
      The reported covariance between this coef and all others is zero.
      This is NOT correct!!

Done with -b1x2-.


. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'92
  3.         }

.         xi:regress lwage92 zbeautyf indivarsports inonlysports onlyvarsports total selfacc92m purplife92m extr
> aver92m agreeable92m conscientious92m neurotic92m open92m iqscore fathed mothed fathproex pinc57 farmbg i.ipop
> 57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat if female==0 & zerowage92==0 & selfemp92==0 
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    1446
-------------+------------------------------           F( 47,  1398) =   18.82
       Model |   154.47882    47  3.28678341           Prob > F      =  0.0000
    Residual |  244.156582  1398  .174647054           R-squared     =  0.3875
-------------+------------------------------           Adj R-squared =  0.3669
       Total |  398.635402  1445  .275872251           Root MSE      =  .41791

----------------------------------------------------------------------------------
         lwage92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0218104    .011674     1.87   0.062    -.0010901    .0447109
   indivarsports |   .0494173   .0281257     1.76   0.079    -.0057558    .1045904
    inonlysports |  -.0714741   .0743552    -0.96   0.337    -.2173338    .0743856
   onlyvarsports |   .0557356   .0611115     0.91   0.362    -.0641446    .1756158
           total |   .0070544   .0046403     1.52   0.129    -.0020482    .0161571
      selfacc92m |   .0054428   .0028551     1.91   0.057    -.0001579    .0110436
     purplife92m |    .008677   .0031613     2.74   0.006     .0024755    .0148785
     extraver92m |   .0014536   .0024691     0.59   0.556    -.0033899     .006297
    agreeable92m |   -.008437   .0028515    -2.96   0.003    -.0140307   -.0028433
conscientious92m |  -.0010851   .0032137    -0.34   0.736    -.0073893    .0052191
     neurotic92m |  -.0018049   .0028329    -0.64   0.524    -.0073621    .0037522
         open92m |   .0067015   .0028663     2.34   0.020     .0010788    .0123241
         iqscore |   .0704215   .0136953     5.14   0.000     .0435559    .0972871
          fathed |  -.0024206   .0043822    -0.55   0.581     -.011017    .0061757
          mothed |   .0059577   .0048857     1.22   0.223    -.0036263    .0155418
       fathproex |   .0531506   .0400268     1.33   0.184    -.0253685    .1316696
          pinc57 |   .0325458   .0202941     1.60   0.109    -.0072644     .072356
          farmbg |   .0190892   .0328009     0.58   0.561    -.0452551    .0834334
      _Iipop57_2 |   .0849169   .0320622     2.65   0.008     .0220218     .147812
      _Iipop57_3 |   .0618343   .0448148     1.38   0.168    -.0260771    .1497457
         sibsnum |   .0066988    .004849     1.38   0.167    -.0028134     .016211
          fullhh |  -.0256818   .0463428    -0.55   0.580    -.1165907     .065227
     momemployed |  -.0006683   .0241526    -0.03   0.978    -.0480474    .0467109
          hssize |   .0000315    .000119     0.26   0.791    -.0002019    .0002649
           milty |   .0911561   .0255739     3.56   0.000     .0409887    .1413236
             pop |   .0030098   .0012384     2.43   0.015     .0005804    .0054391
             exp |  -.0337474    .013522    -2.50   0.013    -.0602731   -.0072218
           expsq |   .0009529    .000271     3.52   0.000     .0004212    .0014845
             mar |   .1553685   .0342577     4.54   0.000     .0881665    .2225704
          tenure |   .0088166    .001135     7.77   0.000     .0065901     .011043
           union |  -.0549736   .0360897    -1.52   0.128    -.1257694    .0158222
          outwis |   .1533355   .0277877     5.52   0.000     .0988254    .2078455
         _Iind_2 |   .4223388   .2598265     1.63   0.104    -.0873531    .9320306
         _Iind_3 |   .2298797   .1568567     1.47   0.143    -.0778202    .5375796
         _Iind_4 |    .326372   .1501792     2.17   0.030     .0317711    .6209728
         _Iind_5 |   .3479338   .1544033     2.25   0.024     .0450467     .650821
         _Iind_6 |   .2057741   .1534263     1.34   0.180    -.0951965    .5067447
         _Iind_7 |   .4392803   .1562949     2.81   0.005     .1326826     .745878
         _Iind_8 |   .2270566   .1617904     1.40   0.161    -.0903215    .5444347
         _Iind_9 |   -.496884   .2403502    -2.07   0.039    -.9683699   -.0253982
        _Iind_10 |   .0806898   .2194879     0.37   0.713    -.3498713    .5112509
        _Iind_11 |   .2192947   .1536118     1.43   0.154    -.0820398    .5206292
        _Iind_12 |    .112439   .1525222     0.74   0.461    -.1867581    .4116361
       _Iieduc_2 |   .1981271   .0360045     5.50   0.000     .1274983    .2687558
       _Iieduc_3 |   .5010908   .0434829    11.52   0.000      .415792    .5863897
       _Iieduc_4 |   .6045162   .0522007    11.58   0.000      .502116    .7069163
          ivocat |   .0819602   .0285468     2.87   0.004      .025961    .1379594
           _cons |   9.241721   .2899198    31.88   0.000     8.672996    9.810446
----------------------------------------------------------------------------------

.                 estimates store gdad_92fs

. 
.         estat hettest

Breusch-Pagan / Cook-Weisberg test for heteroskedasticity 
         Ho: Constant variance
         Variables: fitted values of lwage92

         chi2(1)      =     1.33
         Prob > chi2  =   0.2480

. 
. *Gelbach 
.         xi: b1x2 lwage92 if female==0 & zerowage92==0 & selfemp92==0 , x1all(zbeautyf iqscore fathed mothed fa
> thproex pinc57 farmbg i.ipop57 sibsnum fullhh momemployed hssize milty pop exp expsq mar tenure union outwis i
> .ind i.ieduc ivocat) ///
>         x2all(indivarsports inonlysports onlyvarsports total selfacc92m purplife92m extraver92m agreeable92m c
> onscientious92m neurotic92m open92m) ///
>         x2delta(g1 = indivarsports inonlysports onlyvarsports total : g2 = selfacc92m purplife92m : g3=extrave
> r92m agreeable92m conscientious92m neurotic92m open92m) x1only(zbeautyf) 
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

                                                      Number of obs = 1446


Restricted regression:

. b1x2: reg lwage92 zbeautyf iqscore fathed mothed fathproex pinc57 farmbg _Iipop57_2 _Iipop57_3 sibsnum fullhh 
> momemployed hssize milty pop exp expsq mar tenure union outwis _Iind_2 _Iind_3 _Iind_4 _Iind_5 _Iind_6 _Iind_7
>  _Iind_8 _Iind_9 _Iind_10 _Iind_11 _Iind_12 _Iieduc_2 _Iieduc_3 _Iieduc_4 ivocat if female==0 & zerowage92==0 
> & selfemp92==0      

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
    zbeautyf |   .0291191   .0117277     2.48   0.013     .0061332     .052105
     iqscore |   .0733354   .0134757     5.44   0.000     .0469235    .0997472
      fathed |  -.0019698   .0044296    -0.44   0.657    -.0106517     .006712
      mothed |   .0086941   .0049538     1.76   0.079    -.0010152    .0184035
   fathproex |   .0641856   .0406191     1.58   0.114    -.0154264    .1437977
      pinc57 |   .0348016   .0205579     1.69   0.090    -.0054912    .0750944
      farmbg |   .0116107   .0330905     0.35   0.726    -.0532455    .0764668
  _Iipop57_2 |   .0702348   .0319774     2.20   0.028     .0075602    .1329093
  _Iipop57_3 |   .0488228   .0449129     1.09   0.277    -.0392048    .1368504
     sibsnum |   .0074484   .0049144     1.52   0.130    -.0021836    .0170803
      fullhh |  -.0158578    .046973    -0.34   0.736    -.1079231    .0762076
 momemployed |   -.001306   .0244662    -0.05   0.957    -.0492589    .0466468
      hssize |  -.0000496   .0001146    -0.43   0.665    -.0002743    .0001751
       milty |   .0839604   .0258431     3.25   0.001     .0333089     .134612
         pop |   .0028767    .001257     2.29   0.022      .000413    .0053405
         exp |  -.0339793   .0137285    -2.48   0.013    -.0608866   -.0070721
       expsq |   .0009449    .000275     3.44   0.001      .000406    .0014838
         mar |     .18202   .0341755     5.33   0.000     .1150372    .2490028
      tenure |   .0090418   .0011416     7.92   0.000     .0068042    .0112794
       union |   -.068784   .0363453    -1.89   0.058    -.1400195    .0024514
      outwis |   .1773795   .0279782     6.34   0.000     .1225432    .2322158
     _Iind_2 |    .359661   .2637034     1.36   0.173    -.1571882    .8765102
     _Iind_3 |   .2147821   .1593589     1.35   0.178    -.0975555    .5271197
     _Iind_4 |   .2953084   .1524747     1.94   0.053    -.0035366    .5941534
     _Iind_5 |   .3401437   .1568652     2.17   0.030     .0326936    .6475938
     _Iind_6 |   .1802218   .1556678     1.16   0.247    -.1248815    .4853251
     _Iind_7 |   .4155545   .1585796     2.62   0.009     .1047442    .7263648
     _Iind_8 |   .2092049   .1643268     1.27   0.203    -.1128697    .5312796
     _Iind_9 |  -.4959939   .2442875    -2.03   0.042    -.9747887   -.0171991
    _Iind_10 |   .1467524   .2226779     0.66   0.510    -.2896882     .583193
    _Iind_11 |   .2044804   .1560539     1.31   0.190    -.1013796    .5103405
    _Iind_12 |   .0997399   .1548622     0.64   0.520    -.2037844    .4032642
   _Iieduc_2 |   .2204438   .0363749     6.06   0.000     .1491504    .2917373
   _Iieduc_3 |   .5206274   .0437645    11.90   0.000     .4348506    .6064041
   _Iieduc_4 |   .6416794   .0522163    12.29   0.000     .5393374    .7440214
      ivocat |   .0922332   .0289394     3.19   0.001      .035513    .1489535
       _cons |   9.620379   .2468017    38.98   0.000     9.136657     10.1041
------------------------------------------------------------------------------

Unrestricted regression:

. b1x2: reg lwage92 zbeautyf iqscore fathed mothed fathproex pinc57 farmbg _Iipop57_2 _Iipop57_3 sibsnum fullhh 
> momemployed hssize milty pop exp expsq mar tenure union outwis _Iind_2 _Iind_3 _Iind_4 _Iind_5 _Iind_6 _Iind_7
>  _Iind_8 _Iind_9 _Iind_10 _Iind_11 _Iind_12 _Iieduc_2 _Iieduc_3 _Iieduc_4 ivocat  indivarsports inonlysports o
> nlyvarsports total selfacc92m purplife92m extraver92m agreeable92m conscientious92m neurotic92m open92m if fem
> ale==0 & zerowage92==0 & selfemp92==0      
----------------------------------------------------------------------------------
         lwage92 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-----------------+----------------------------------------------------------------
        zbeautyf |   .0218104    .011674     1.87   0.062    -.0010702     .044691
         iqscore |   .0704215   .0136953     5.14   0.000     .0435791    .0972638
          fathed |  -.0024206   .0043822    -0.55   0.581    -.0110095    .0061682
          mothed |   .0059577   .0048857     1.22   0.223     -.003618    .0155335
       fathproex |   .0531506   .0400268     1.33   0.184    -.0253005    .1316016
          pinc57 |   .0325458   .0202941     1.60   0.109    -.0072299    .0723215
          farmbg |   .0190892   .0328009     0.58   0.561    -.0451994    .0833777
      _Iipop57_2 |   .0849169   .0320622     2.65   0.008     .0220762    .1477576
      _Iipop57_3 |   .0618343   .0448148     1.38   0.168     -.026001    .1496696
         sibsnum |   .0066988    .004849     1.38   0.167    -.0028051    .0162027
          fullhh |  -.0256818   .0463428    -0.55   0.579     -.116512    .0651483
     momemployed |  -.0006683   .0241526    -0.03   0.978    -.0480064    .0466699
          hssize |   .0000315    .000119     0.26   0.791    -.0002017    .0002647
           milty |   .0911561   .0255739     3.56   0.000     .0410321    .1412802
             pop |   .0030098   .0012384     2.43   0.015     .0005825     .005437
             exp |  -.0337474    .013522    -2.50   0.013    -.0602501   -.0072448
           expsq |   .0009529    .000271     3.52   0.000     .0004217    .0014841
             mar |   .1553685   .0342577     4.54   0.000     .0882247    .2225123
          tenure |   .0088166    .001135     7.77   0.000     .0065921    .0110411
           union |  -.0549736   .0360897    -1.52   0.128    -.1257081    .0157609
          outwis |   .1533355   .0277877     5.52   0.000     .0988726    .2077983
         _Iind_2 |   .4223388   .2598265     1.63   0.104    -.0869118    .9315893
         _Iind_3 |   .2298797   .1568567     1.47   0.143    -.0775538    .5373132
         _Iind_4 |    .326372   .1501792     2.17   0.030     .0320262    .6207178
         _Iind_5 |   .3479338   .1544033     2.25   0.024     .0453089    .6505587
         _Iind_6 |   .2057741   .1534263     1.34   0.180    -.0949359    .5064841
         _Iind_7 |   .4392803   .1562949     2.81   0.005      .132948    .7456126
         _Iind_8 |   .2270566   .1617904     1.40   0.160    -.0900467      .54416
         _Iind_9 |   -.496884   .2403502    -2.07   0.039    -.9679617   -.0258064
        _Iind_10 |   .0806898   .2194879     0.37   0.713    -.3494985    .5108781
        _Iind_11 |   .2192947   .1536118     1.43   0.153    -.0817789    .5203683
        _Iind_12 |    .112439   .1525222     0.74   0.461     -.186499     .411377
       _Iieduc_2 |   .1981271   .0360045     5.50   0.000     .1275595    .2686946
       _Iieduc_3 |   .5010908   .0434829    11.52   0.000     .4158659    .5863158
       _Iieduc_4 |   .6045162   .0522007    11.58   0.000     .5022047    .7068276
          ivocat |   .0819602   .0285468     2.87   0.004     .0260095    .1379109
   indivarsports |   .0494173   .0281257     1.76   0.079     -.005708    .1045427
    inonlysports |  -.0714741   .0743552    -0.96   0.336    -.2172075    .0742593
   onlyvarsports |   .0557356   .0611115     0.91   0.362    -.0640408     .175512
           total |   .0070544   .0046403     1.52   0.128    -.0020403    .0161492
      selfacc92m |   .0054428   .0028551     1.91   0.057    -.0001531    .0110387
     purplife92m |    .008677   .0031613     2.74   0.006     .0024809    .0148731
     extraver92m |   .0014536   .0024691     0.59   0.556    -.0033857    .0062928
    agreeable92m |   -.008437   .0028515    -2.96   0.003    -.0140259   -.0028481
conscientious92m |  -.0010851   .0032137    -0.34   0.736    -.0073838    .0052136
     neurotic92m |  -.0018049   .0028329    -0.64   0.524    -.0073573    .0037474
         open92m |   .0067015   .0028663     2.34   0.019     .0010837    .0123193
           _cons |   9.241721   .2899198    31.88   0.000     8.673488    9.809953
----------------------------------------------------------------------------------

Decomposition of changes in coefficients on x1 vars:

       zbeautyf iqscore fathed mothed fathproex pinc57 farmbg _Iipop57_2 _Iipop57_3 sibsnum fullhh momemployed h
> ssize milty pop exp expsq mar tenure union outwis _Iind_2 _Iind_3 _Iind_4 _Iind_5 _Iind_6 _Iind_7 _Iind_8 _Iin
> d_9 _Iind_10 _Iind_11 _Iind_12 _Iieduc_2 _Iieduc_3 _Iieduc_4 ivocat

into parts due to these groups:

g1  = indivarsports inonlysports onlyvarsports total

g2  = selfacc92m purplife92m

g3 = extraver92m agreeable92m conscientious92m neurotic92m open92m

------------------------------------------------------------------------------
     lwage92 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
          g1 |   .0046442   .0019566     2.37   0.018     .0008094     .008479
          g2 |   .0017829   .0019033     0.94   0.349    -.0019475    .0055134
          g3 |   .0008815   .0016951     0.52   0.603    -.0024408    .0042039
        __TC |   .0073087   .0031129     2.35   0.019     .0012074      .01341
------------------------------------------------------------------------------

Note: The __TC...  line is the sum of all x2 variables' impacts on each x1.
      The reported covariance between this coef and all others is zero.
      This is NOT correct!!

Done with -b1x2-.


. 
. 
. *TABLE 11: New DOT stuff
. 
.         foreach var of varlist outwis pop exp expsq mar tenure union occ ind ieduc {
  2.                 qui replace `var'=`var'74     
  3.         }

. 
.         foreach var of varlist datam peoplem GED_Lm GED_Mm Apt_Verbalm Apt_IQm {
  2.                 di "`var': Interactions"
  3.                 qui centile `var',centile(5 20 50 80 95)
  4.                 local centlist=string(r(c_1))+" "+string(r(c_2))+" "+string(r(c_3))+" "+string(r(c_4))+" "+
> string(r(c_5))
  5.                 local origlab : variable label `var'
  6. 
.                 xi: regress lwage74 c.zbeautyf##c.`var' iqscore fathed mothed fathproex pinc57 farmbg i.ipop57
>  sibsnum  ///
>                  fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ieduc ///
>                  ivocat  if female==0 & zerowage74==0 & selfemp74==0
  7.                         estimates store v74_`var'e
  8.                 di "Marginal effects at `var' centiles 5, 20, 50, 80 and 95"
  9.                 margins, dydx(zbeautyf) at(`var'=(`centlist'))
 10.                 marginsplot, yline(0) ytitle(" ") xtitle (" ") title("`origlab'", span) xlab(none)
 11.                 graph save "./Tables/`var'.gph",replace
 12.         }
datam: Interactions
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2413
-------------+------------------------------           F( 27,  2385) =   36.11
       Model |   72.126453    27  2.67135011           Prob > F      =  0.0000
    Residual |  176.420278  2385  .073970767           R-squared     =  0.2902
-------------+------------------------------           Adj R-squared =  0.2822
       Total |  248.546731  2412  .103045908           Root MSE      =  .27198

------------------------------------------------------------------------------------
           lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
          zbeautyf |   .0216091   .0056483     3.83   0.000     .0105331    .0326852
             datam |   .0123154   .0040194     3.06   0.002     .0044334    .0201973
                   |
c.zbeautyf#c.datam |  -.0057948   .0031525    -1.84   0.066    -.0119768    .0003872
                   |
           iqscore |   .0492148   .0064143     7.67   0.000     .0366366    .0617931
            fathed |   -.003661   .0021469    -1.71   0.088     -.007871     .000549
            mothed |   .0035818   .0024342     1.47   0.141    -.0011915    .0083552
         fathproex |   .0356104   .0203609     1.75   0.080    -.0043165    .0755372
            pinc57 |   .0205371   .0098151     2.09   0.037       .00129    .0397842
            farmbg |   .0039406   .0163742     0.24   0.810    -.0281685    .0360497
        _Iipop57_2 |   .0248887   .0157227     1.58   0.114    -.0059429    .0557203
        _Iipop57_3 |   .0930202   .0218215     4.26   0.000      .050229    .1358114
           sibsnum |   .0051171   .0023801     2.15   0.032     .0004499    .0097844
            fullhh |  -.0124233   .0233858    -0.53   0.595    -.0582819    .0334352
       momemployed |   .0129532   .0120039     1.08   0.281    -.0105861    .0364924
            hssize |   .0001009   .0000559     1.81   0.071    -8.64e-06    .0002105
             milty |   .0430684   .0134807     3.19   0.001     .0166332    .0695035
               pop |  -.0012188   .0014921    -0.82   0.414    -.0041447     .001707
               exp |   .0185696   .0046744     3.97   0.000     .0094032    .0277359
             expsq |  -.0004055    .000266    -1.52   0.127     -.000927     .000116
               mar |   .1281055   .0177357     7.22   0.000     .0933265    .1628845
            tenure |   .0065145    .001245     5.23   0.000     .0040731    .0089558
             union |  -.0209697   .0129559    -1.62   0.106    -.0463757    .0044363
            outwis |   .1590874   .0137192    11.60   0.000     .1321846    .1859903
         _Iieduc_2 |   .0651901   .0201064     3.24   0.001     .0257622     .104618
         _Iieduc_3 |   .2250648   .0239371     9.40   0.000      .178125    .2720045
         _Iieduc_4 |   .2285006   .0276702     8.26   0.000     .1742404    .2827608
            ivocat |   .0399717   .0144204     2.77   0.006      .011694    .0682495
             _cons |   10.01886   .0604128   165.84   0.000     9.900393    10.13733
------------------------------------------------------------------------------------
Marginal effects at datam centiles 5, 20, 50, 80 and 95

Average marginal effects                          Number of obs   =       2413
Model VCE    : OLS

Expression   : Linear prediction, predict()
dy/dx w.r.t. : zbeautyf

1._at        : datam           =   -3.422337

2._at        : datam           =   -1.223489

3._at        : datam           =    .1950078

4._at        : datam           =    1.271986

5._at        : datam           =    2.195008

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
         _at |
          1  |   .0414409   .0120603     3.44   0.001     .0178032    .0650786
          2  |    .028699   .0067645     4.24   0.000     .0154407    .0419573
          3  |   .0204791    .005696     3.60   0.000     .0093152     .031643
          4  |   .0142382   .0070032     2.03   0.042     .0005122    .0279643
          5  |   .0088895   .0090344     0.98   0.325    -.0088176    .0265966
------------------------------------------------------------------------------

  Variables that uniquely identify margins: datam
(note: file ./Tables/datam.gph not found)
(file ./Tables/datam.gph saved)
peoplem: Interactions
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2413
-------------+------------------------------           F( 27,  2385) =   35.80
       Model |  71.6861458    27  2.65504244           Prob > F      =  0.0000
    Residual |  176.860585  2385  .074155382           R-squared     =  0.2884
-------------+------------------------------           Adj R-squared =  0.2804
       Total |  248.546731  2412  .103045908           Root MSE      =  .27231

--------------------------------------------------------------------------------------
             lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
            zbeautyf |   .0216967   .0056556     3.84   0.000     .0106063    .0327871
             peoplem |   .0079712    .003842     2.07   0.038     .0004371    .0155052
                     |
c.zbeautyf#c.peoplem |  -.0049891   .0029856    -1.67   0.095    -.0108438    .0008657
                     |
             iqscore |   .0510923   .0063943     7.99   0.000     .0385533    .0636312
              fathed |   -.003616   .0021494    -1.68   0.093    -.0078309    .0005989
              mothed |   .0036837   .0024378     1.51   0.131    -.0010968    .0084641
           fathproex |   .0338205   .0203742     1.66   0.097    -.0061325    .0737735
              pinc57 |   .0209809   .0098166     2.14   0.033     .0017309     .040231
              farmbg |   .0043479   .0164148     0.26   0.791    -.0278409    .0365367
          _Iipop57_2 |   .0278573   .0157406     1.77   0.077    -.0030095     .058724
          _Iipop57_3 |   .0949929   .0218481     4.35   0.000     .0521496    .1378362
             sibsnum |   .0051293   .0023835     2.15   0.031     .0004554    .0098033
              fullhh |  -.0109932   .0234115    -0.47   0.639    -.0569023    .0349158
         momemployed |    .012219   .0120183     1.02   0.309    -.0113483    .0357863
              hssize |   .0000989    .000056     1.77   0.077    -.0000108    .0002086
               milty |   .0445069   .0135073     3.30   0.001     .0180197    .0709941
                 pop |  -.0012788   .0014943    -0.86   0.392    -.0042091    .0016515
                 exp |    .018567   .0046785     3.97   0.000     .0093926    .0277414
               expsq |  -.0003992   .0002662    -1.50   0.134    -.0009212    .0001228
                 mar |   .1286587   .0177643     7.24   0.000     .0938237    .1634938
              tenure |   .0066021   .0012473     5.29   0.000     .0041562    .0090479
               union |  -.0290857   .0125531    -2.32   0.021    -.0537019   -.0044695
              outwis |   .1615883   .0137466    11.75   0.000     .1346317    .1885448
           _Iieduc_2 |   .0700045   .0200622     3.49   0.000     .0306633    .1093457
           _Iieduc_3 |   .2296254   .0239574     9.58   0.000     .1826459     .276605
           _Iieduc_4 |   .2257329   .0290614     7.77   0.000     .1687447    .2827211
              ivocat |   .0460959   .0142902     3.23   0.001     .0180734    .0741185
               _cons |   10.01069   .0604095   165.71   0.000     9.892225    10.12915
--------------------------------------------------------------------------------------
Marginal effects at peoplem centiles 5, 20, 50, 80 and 95

Average marginal effects                          Number of obs   =       2413
Model VCE    : OLS

Expression   : Linear prediction, predict()
dy/dx w.r.t. : zbeautyf

1._at        : peoplem         =   -2.295855

2._at        : peoplem         =   -1.716692

3._at        : peoplem         =   -.1356546

4._at        : peoplem         =    1.150946

5._at        : peoplem         =    3.914231

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
         _at |
          1  |   .0331509    .008812     3.76   0.000     .0158797    .0504221
          2  |   .0302614   .0075676     4.00   0.000     .0154292    .0450936
          3  |   .0223735   .0056632     3.95   0.000     .0112738    .0334732
          4  |   .0159546   .0066675     2.39   0.017     .0028864    .0290227
          5  |   .0021683   .0130695     0.17   0.868    -.0234474    .0277841
------------------------------------------------------------------------------

  Variables that uniquely identify margins: peoplem
(note: file ./Tables/peoplem.gph not found)
(file ./Tables/peoplem.gph saved)
GED_Lm: Interactions
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2402
-------------+------------------------------           F( 27,  2374) =   36.18
       Model |  72.0407352    27  2.66817538           Prob > F      =  0.0000
    Residual |  175.092229  2374  .073754098           R-squared     =  0.2915
-------------+------------------------------           Adj R-squared =  0.2834
       Total |  247.132964  2401  .102929181           Root MSE      =  .27158

-------------------------------------------------------------------------------------
            lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           zbeautyf |    .022244   .0056567     3.93   0.000     .0111513    .0333367
             GED_Lm |   .0291044   .0074678     3.90   0.000     .0144603    .0437485
                    |
c.zbeautyf#c.GED_Lm |  -.0114592   .0051439    -2.23   0.026    -.0215462   -.0013722
                    |
            iqscore |   .0468507   .0064524     7.26   0.000     .0341978    .0595036
             fathed |  -.0033604   .0021466    -1.57   0.118    -.0075698     .000849
             mothed |   .0034039   .0024343     1.40   0.162    -.0013696    .0081775
          fathproex |   .0357294   .0203495     1.76   0.079    -.0041752    .0756339
             pinc57 |   .0214217   .0098012     2.19   0.029     .0022018    .0406415
             farmbg |   .0075012   .0164004     0.46   0.647    -.0246593    .0396617
         _Iipop57_2 |   .0248636   .0157203     1.58   0.114    -.0059633    .0556905
         _Iipop57_3 |   .0911959   .0218175     4.18   0.000     .0484125    .1339792
            sibsnum |   .0052052   .0023856     2.18   0.029     .0005272    .0098833
             fullhh |  -.0122769   .0233584    -0.53   0.599    -.0580818     .033528
        momemployed |   .0129795   .0120104     1.08   0.280    -.0105724    .0365314
             hssize |   .0001043   .0000558     1.87   0.062    -5.23e-06    .0002138
              milty |   .0444154   .0134798     3.29   0.001     .0179821    .0708487
                pop |  -.0012827   .0014908    -0.86   0.390    -.0042062    .0016408
                exp |   .0182978   .0046707     3.92   0.000     .0091388    .0274569
              expsq |  -.0003753   .0002658    -1.41   0.158    -.0008965     .000146
                mar |   .1264255    .017751     7.12   0.000     .0916164    .1612346
             tenure |   .0064028   .0012451     5.14   0.000     .0039612    .0088445
              union |   -.016689   .0132165    -1.26   0.207    -.0426061    .0092281
             outwis |   .1572618    .013728    11.46   0.000     .1303417    .1841818
          _Iieduc_2 |   .0613999   .0201281     3.05   0.002     .0219293    .1008704
          _Iieduc_3 |   .2121545   .0244547     8.68   0.000     .1641997    .2601092
          _Iieduc_4 |   .2080714   .0287721     7.23   0.000     .1516503    .2644925
             ivocat |   .0373217   .0143971     2.59   0.010     .0090895    .0655539
              _cons |   10.01835   .0603343   166.05   0.000     9.900036    10.13666
-------------------------------------------------------------------------------------
Marginal effects at GED_Lm centiles 5, 20, 50, 80 and 95

Average marginal effects                          Number of obs   =       2402
Model VCE    : OLS

Expression   : Linear prediction, predict()
dy/dx w.r.t. : zbeautyf

1._at        : GED_Lm          =   -1.650866

2._at        : GED_Lm          =   -.7935709

3._at        : GED_Lm          =    .0296526

4._at        : GED_Lm          =    1.129329

5._at        : GED_Lm          =    1.455357

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
         _at |
          1  |   .0411616   .0101835     4.04   0.000     .0212023    .0611209
          2  |   .0313377   .0069618     4.50   0.000     .0176929    .0449825
          3  |   .0219042   .0056594     3.87   0.000     .0108119    .0329965
          4  |   .0093028   .0081255     1.14   0.252    -.0066229    .0252285
          5  |   .0055668   .0094022     0.59   0.554    -.0128612    .0239948
------------------------------------------------------------------------------

  Variables that uniquely identify margins: GED_Lm
(note: file ./Tables/GED_Lm.gph not found)
(file ./Tables/GED_Lm.gph saved)
GED_Mm: Interactions
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2402
-------------+------------------------------           F( 27,  2374) =   36.47
       Model |  72.4549542    27  2.68351682           Prob > F      =  0.0000
    Residual |   174.67801  2374  .073579617           R-squared     =  0.2932
-------------+------------------------------           Adj R-squared =  0.2851
       Total |  247.132964  2401  .102929181           Root MSE      =  .27126

-------------------------------------------------------------------------------------
            lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------------+----------------------------------------------------------------
           zbeautyf |   .0228364   .0056499     4.04   0.000     .0117571    .0339158
             GED_Mm |    .034113   .0067898     5.02   0.000     .0207985    .0474275
                    |
c.zbeautyf#c.GED_Mm |    -.00635   .0053849    -1.18   0.238    -.0169097    .0042097
                    |
            iqscore |   .0460425   .0064478     7.14   0.000     .0333985    .0586864
             fathed |  -.0031574   .0021449    -1.47   0.141    -.0073635    .0010486
             mothed |   .0031917   .0024316     1.31   0.189    -.0015767      .00796
          fathproex |   .0361312   .0203263     1.78   0.076    -.0037279    .0759902
             pinc57 |   .0210821    .009791     2.15   0.031     .0018822     .040282
             farmbg |   .0053969   .0163736     0.33   0.742    -.0267111    .0375049
         _Iipop57_2 |   .0224373   .0157137     1.43   0.153    -.0083767    .0532514
         _Iipop57_3 |   .0866516   .0218318     3.97   0.000     .0438403    .1294629
            sibsnum |    .005507   .0023834     2.31   0.021     .0008333    .0101807
             fullhh |  -.0113977   .0233245    -0.49   0.625    -.0571362    .0343408
        momemployed |   .0133359   .0119948     1.11   0.266    -.0101854    .0368572
             hssize |   .0001094   .0000558     1.96   0.050     4.37e-08    .0002189
              milty |   .0427142   .0134656     3.17   0.002     .0163086    .0691198
                pop |  -.0012741   .0014897    -0.86   0.392    -.0041954    .0016471
                exp |   .0184043   .0046647     3.95   0.000     .0092571    .0275515
              expsq |  -.0003995   .0002653    -1.51   0.132    -.0009198    .0001209
                mar |   .1266453   .0177176     7.15   0.000     .0919017    .1613888
             tenure |   .0061818   .0012443     4.97   0.000     .0037418    .0086218
              union |  -.0128095   .0130813    -0.98   0.328    -.0384615    .0128425
             outwis |   .1554792   .0137278    11.33   0.000     .1285595     .182399
          _Iieduc_2 |   .0616761   .0200479     3.08   0.002     .0223629    .1009892
          _Iieduc_3 |   .2131614   .0239988     8.88   0.000     .1661007    .2602221
          _Iieduc_4 |   .2157286    .027661     7.80   0.000     .1614864    .2699707
             ivocat |   .0332796   .0144585     2.30   0.021      .004927    .0616323
              _cons |   10.02237    .060268   166.30   0.000     9.904188    10.14055
-------------------------------------------------------------------------------------
Marginal effects at GED_Mm centiles 5, 20, 50, 80 and 95

Average marginal effects                          Number of obs   =       2402
Model VCE    : OLS

Expression   : Linear prediction, predict()
dy/dx w.r.t. : zbeautyf

1._at        : GED_Mm          =   -1.590035

2._at        : GED_Mm          =   -.9799803

3._at        : GED_Mm          =   -.1658798

4._at        : GED_Mm          =    .6834652

5._at        : GED_Mm          =    1.598309

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
         _at |
          1  |   .0329331   .0103026     3.20   0.001     .0127404    .0531259
          2  |   .0290593   .0077673     3.74   0.000     .0138357    .0442829
          3  |   .0238898   .0057284     4.17   0.000     .0126623    .0351172
          4  |   .0184964   .0067139     2.75   0.006     .0053375    .0316554
          5  |   .0126872    .010251     1.24   0.216    -.0074045    .0327789
------------------------------------------------------------------------------

  Variables that uniquely identify margins: GED_Mm
(note: file ./Tables/GED_Mm.gph not found)
(file ./Tables/GED_Mm.gph saved)
Apt_Verbalm: Interactions
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2402
-------------+------------------------------           F( 27,  2374) =   36.17
       Model |  72.0363976    27  2.66801473           Prob > F      =  0.0000
    Residual |  175.096566  2374  .073755925           R-squared     =  0.2915
-------------+------------------------------           Adj R-squared =  0.2834
       Total |  247.132964  2401  .102929181           Root MSE      =  .27158

------------------------------------------------------------------------------------------
                 lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------------+----------------------------------------------------------------
                zbeautyf |   .0218606   .0056585     3.86   0.000     .0107644    .0329567
             Apt_Verbalm |   .0403795   .0103255     3.91   0.000     .0201316    .0606274
                         |
c.zbeautyf#c.Apt_Verbalm |  -.0170334   .0072332    -2.35   0.019    -.0312175   -.0028493
                         |
                 iqscore |   .0468762   .0064512     7.27   0.000     .0342256    .0595268
                  fathed |  -.0035818   .0021469    -1.67   0.095    -.0077918    .0006282
                  mothed |   .0034545   .0024338     1.42   0.156     -.001318    .0082271
               fathproex |   .0353612   .0203487     1.74   0.082    -.0045419    .0752642
                  pinc57 |     .02116   .0098066     2.16   0.031     .0019295    .0403905
                  farmbg |   .0068655   .0163978     0.42   0.675      -.02529    .0390209
              _Iipop57_2 |   .0239463   .0157249     1.52   0.128    -.0068896    .0547823
              _Iipop57_3 |   .0908124   .0218182     4.16   0.000     .0480277     .133597
                 sibsnum |   .0050758   .0023861     2.13   0.033     .0003969    .0097548
                  fullhh |  -.0133595   .0233644    -0.57   0.568    -.0591763    .0324573
             momemployed |   .0127434   .0120098     1.06   0.289    -.0108073    .0362941
                  hssize |   .0001028   .0000558     1.84   0.066    -6.67e-06    .0002123
                   milty |   .0442066   .0134843     3.28   0.001     .0177644    .0706489
                     pop |  -.0012923   .0014904    -0.87   0.386    -.0042149    .0016303
                     exp |   .0183175   .0046722     3.92   0.000     .0091555    .0274796
                   expsq |  -.0003797   .0002659    -1.43   0.154    -.0009012    .0001418
                     mar |   .1274988   .0177467     7.18   0.000     .0926982    .1622994
                  tenure |   .0064016   .0012451     5.14   0.000     .0039601    .0088432
                   union |  -.0168724   .0132087    -1.28   0.202    -.0427743    .0090295
                  outwis |   .1575299   .0137284    11.47   0.000     .1306091    .1844507
               _Iieduc_2 |   .0604563   .0201409     3.00   0.003     .0209608    .0999519
               _Iieduc_3 |   .2143993   .0242495     8.84   0.000     .1668468    .2619517
               _Iieduc_4 |   .2105732   .0284927     7.39   0.000        .1547    .2664463
                  ivocat |   .0385307   .0143787     2.68   0.007     .0103346    .0667269
                   _cons |   10.02246   .0603832   165.98   0.000     9.904051    10.14087
------------------------------------------------------------------------------------------
Marginal effects at Apt_Verbalm centiles 5, 20, 50, 80 and 95

Average marginal effects                          Number of obs   =       2402
Model VCE    : OLS

Expression   : Linear prediction, predict()
dy/dx w.r.t. : zbeautyf

1._at        : Apt_Verbalm     =   -1.359346

2._at        : Apt_Verbalm     =   -.5440573

3._at        : Apt_Verbalm     =   -.0652768

4._at        : Apt_Verbalm     =    .6016632

5._at        : Apt_Verbalm     =    1.113291

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
         _at |
          1  |   .0450149   .0112873     3.99   0.000     .0228921    .0671376
          2  |   .0311277   .0068548     4.54   0.000     .0176926    .0445628
          3  |   .0229724   .0056727     4.05   0.000     .0118542    .0340907
          4  |   .0116122   .0071785     1.62   0.106    -.0024574    .0256817
          5  |   .0028974   .0098956     0.29   0.770    -.0164977    .0222925
------------------------------------------------------------------------------

  Variables that uniquely identify margins: Apt_Verbalm
(note: file ./Tables/Apt_Verbalm.gph not found)
(file ./Tables/Apt_Verbalm.gph saved)
Apt_IQm: Interactions
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2402
-------------+------------------------------           F( 27,  2374) =   36.38
       Model |  72.3297641    27  2.67888015           Prob > F      =  0.0000
    Residual |    174.8032  2374   .07363235           R-squared     =  0.2927
-------------+------------------------------           Adj R-squared =  0.2846
       Total |  247.132964  2401  .102929181           Root MSE      =  .27135

--------------------------------------------------------------------------------------
             lwage74 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------------+----------------------------------------------------------------
            zbeautyf |   .0220816   .0056528     3.91   0.000     .0109966    .0331666
             Apt_IQm |   .0500366   .0112451     4.45   0.000     .0279854    .0720879
                     |
c.zbeautyf#c.Apt_IQm |  -.0173422   .0082236    -2.11   0.035    -.0334684   -.0012159
                     |
             iqscore |   .0467792    .006438     7.27   0.000     .0341545    .0594038
              fathed |  -.0035978   .0021454    -1.68   0.094    -.0078049    .0006093
              mothed |    .003253   .0024323     1.34   0.181    -.0015166    .0080226
           fathproex |   .0368988   .0203421     1.81   0.070    -.0029913    .0767888
              pinc57 |    .021019   .0097957     2.15   0.032       .00181     .040228
              farmbg |   .0074438   .0163868     0.45   0.650    -.0246901    .0395778
          _Iipop57_2 |   .0243136   .0157051     1.55   0.122    -.0064835    .0551108
          _Iipop57_3 |    .091373   .0217913     4.19   0.000      .048641     .134105
             sibsnum |   .0051968   .0023842     2.18   0.029     .0005215    .0098721
              fullhh |  -.0129213   .0233367    -0.55   0.580    -.0586836    .0328411
         momemployed |   .0129601   .0120011     1.08   0.280    -.0105736    .0364938
              hssize |   .0001026   .0000558     1.84   0.066    -6.85e-06     .000212
               milty |   .0441488   .0134733     3.28   0.001     .0177282    .0705694
                 pop |  -.0013599   .0014894    -0.91   0.361    -.0042806    .0015608
                 exp |   .0184012   .0046675     3.94   0.000     .0092484    .0275541
               expsq |  -.0003926   .0002656    -1.48   0.139    -.0009135    .0001282
                 mar |   .1276369   .0177283     7.20   0.000     .0928722    .1624015
              tenure |   .0064491   .0012437     5.19   0.000     .0040103     .008888
               union |  -.0152306   .0131055    -1.16   0.245      -.04093    .0104688
              outwis |   .1568266   .0137203    11.43   0.000     .1299216    .1837316
           _Iieduc_2 |   .0604827    .020086     3.01   0.003     .0210947    .0998707
           _Iieduc_3 |   .2111728   .0241935     8.73   0.000     .1637302    .2586154
           _Iieduc_4 |   .2068726   .0283439     7.30   0.000     .1512913     .262454
              ivocat |   .0378703   .0143526     2.64   0.008     .0097254    .0660152
               _cons |   10.02555   .0603341   166.17   0.000      9.90724    10.14387
--------------------------------------------------------------------------------------
Marginal effects at Apt_IQm centiles 5, 20, 50, 80 and 95

Average marginal effects                          Number of obs   =       2402
Model VCE    : OLS

Expression   : Linear prediction, predict()
dy/dx w.r.t. : zbeautyf

1._at        : Apt_IQm         =   -1.153193

2._at        : Apt_IQm         =   -.5368087

3._at        : Apt_IQm         =    .1354268

4._at        : Apt_IQm         =    .4631913

5._at        : Apt_IQm         =    1.137122

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
zbeautyf     |
         _at |
          1  |   .0420805   .0110552     3.81   0.000     .0204126    .0637483
          2  |    .031391    .007183     4.37   0.000     .0173127    .0454694
          3  |    .019733   .0057582     3.43   0.001     .0084472    .0310188
          4  |   .0140489   .0068068     2.06   0.039     .0007078    .0273899
          5  |   .0023614   .0109123     0.22   0.829    -.0190263    .0237491
------------------------------------------------------------------------------

  Variables that uniquely identify margins: Apt_IQm
(note: file ./Tables/Apt_IQm.gph not found)
(file ./Tables/Apt_IQm.gph saved)

.         graph combine "./Tables/datam.gph" ///
>         "./Tables/peoplem.gph" ///
>         "./Tables/Apt_Verbalm.gph" ///
>         "./Tables/Apt_IQm.gph" ///
>         "./Tables/GED_Lm.gph" ///
>         "./Tables/GED_Mm.gph" , ycommon xcommon title("DOT 1975")

.         graph export "./Tables/DOT75.ps", as(ps) replace
(note: file ./Tables/DOT75.ps not found)
(file ./Tables/DOT75.ps written in PostScript format)

.         !ps2pdf "./Tables/DOT75.ps"


. 
. *Employer changes
. 
.         sum numempls92 if female==0 & selfemp74==0,d 

                  Number of employers 75-92
-------------------------------------------------------------
      Percentiles      Smallest
 1%            1              1
 5%            1              1
10%            1              1       Obs                2742
25%            1              1       Sum of Wgt.        2742

50%            1                      Mean           1.894238
                        Largest       Std. Dev.      1.085766
75%            3              5
90%            4              5       Variance       1.178887
95%            4              5       Skewness       .9220815
99%            4              5       Kurtosis       2.589598

. 
.         xi: regress numempls92 q1b q5b iqscore if female==0 & selfemp74==0  

      Source |       SS       df       MS              Number of obs =    2742
-------------+------------------------------           F(  3,  2738) =    9.52
       Model |   33.362748     3   11.120916           Prob > F      =  0.0000
    Residual |  3197.96621  2738   1.1679935           R-squared     =  0.0103
-------------+------------------------------           Adj R-squared =  0.0092
       Total |  3231.32896  2741  1.17888689           Root MSE      =  1.0807

------------------------------------------------------------------------------
  numempls92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         q1b |  -.0456888   .0541729    -0.84   0.399    -.1519127    .0605351
         q5b |   .1630582   .0529478     3.08   0.002     .0592364    .2668799
     iqscore |   .0806529   .0202073     3.99   0.000     .0410298     .120276
       _cons |   1.862301   .0266041    70.00   0.000     1.810135    1.914468
------------------------------------------------------------------------------

.                 estimates store numemp_iq

. 
.         foreach var of varlist pop exp expsq mar tenure union outwis ind occ ieduc {
  2.                 qui replace `var'=`var'74
  3.         }

.         xi: regress numempls92 q1b q5b iqscore fathed mothed fathproex pinc57 farmbg i.ipop57 sibsnum  ///
>          fullhh momemployed  hssize milty pop exp expsq mar tenure union outwis i.ind i.ieduc ///
>          ivocat nummar7592 if female==0 & selfemp74==0  
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)
i.ind             _Iind_1-12          (naturally coded; _Iind_1 omitted)
i.ieduc           _Iieduc_1-4         (naturally coded; _Iieduc_1 omitted)

      Source |       SS       df       MS              Number of obs =    2319
-------------+------------------------------           F( 38,  2280) =   13.00
       Model |  482.986472    38  12.7101703           Prob > F      =  0.0000
    Residual |  2229.08684  2280  .977669665           R-squared     =  0.1781
-------------+------------------------------           Adj R-squared =  0.1644
       Total |  2712.07331  2318  1.17000574           Root MSE      =  .98877

------------------------------------------------------------------------------
  numempls92 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         q1b |  -.0302979   .0540767    -0.56   0.575    -.1363426    .0757468
         q5b |   .1652684   .0534277     3.09   0.002     .0604965    .2700403
     iqscore |  -.0019795   .0239103    -0.08   0.934    -.0488677    .0449087
      fathed |   .0068204   .0080865     0.84   0.399    -.0090372    .0226781
      mothed |  -.0046042   .0090808    -0.51   0.612    -.0224116    .0132033
   fathproex |  -.0187583   .0745772    -0.25   0.801    -.1650045    .1274878
      pinc57 |   .0275806   .0368267     0.75   0.454    -.0446367    .0997979
      farmbg |   .0109485    .061446     0.18   0.859    -.1095474    .1314443
  _Iipop57_2 |   -.008584   .0585371    -0.15   0.883    -.1233756    .1062076
  _Iipop57_3 |   .0873072   .0809346     1.08   0.281     -.071406    .2460204
     sibsnum |   .0060528    .008861     0.68   0.495    -.0113237    .0234293
      fullhh |    .051106   .0890889     0.57   0.566    -.1235978    .2258097
 momemployed |   .0740167   .0449432     1.65   0.100    -.0141171    .1621506
      hssize |   .0002604    .000207     1.26   0.208    -.0001455    .0006662
       milty |  -.0357244   .0500872    -0.71   0.476    -.1339456    .0624968
         pop |   .0109104   .0057899     1.88   0.060    -.0004436    .0222643
         exp |  -.0152141   .0171115    -0.89   0.374    -.0487698    .0183416
       expsq |  -6.70e-07   .0009828    -0.00   0.999    -.0019279    .0019265
         mar |    .028045   .0705553     0.40   0.691    -.1103143    .1664043
      tenure |  -.0591259   .0047206   -12.53   0.000     -.068383   -.0498687
       union |  -.3179086   .0485136    -6.55   0.000    -.4130441   -.2227731
      outwis |   .1053589   .0519632     2.03   0.043     .0034588    .2072591
     _Iind_2 |   .6304305   .3557938     1.77   0.077     -.067283    1.328144
     _Iind_3 |   .3991833   .2396639     1.67   0.096    -.0707989    .8691654
     _Iind_4 |   .2298114     .22591     1.02   0.309    -.2131991     .672822
     _Iind_5 |   .1249429   .2360741     0.53   0.597    -.3379997    .5878854
     _Iind_6 |   .6437659   .2330106     2.76   0.006     .1868309    1.100701
     _Iind_7 |   .4243792   .2420404     1.75   0.080    -.0502633    .8990216
     _Iind_8 |   .6404594   .2622429     2.44   0.015     .1261999    1.154719
     _Iind_9 |   .2189364   .3557594     0.62   0.538    -.4787096    .9165824
    _Iind_10 |  -.0791967   .4411932    -0.18   0.858    -.9443788    .7859854
    _Iind_11 |  -.0347705   .2346732    -0.15   0.882    -.4949659    .4254249
    _Iind_12 |   .2288812   .2329755     0.98   0.326     -.227985    .6857473
   _Iieduc_2 |  -.1194892   .0746714    -1.60   0.110    -.2659202    .0269419
   _Iieduc_3 |  -.3008379   .0880735    -3.42   0.001    -.4735504   -.1281253
   _Iieduc_4 |     -.2373   .1057477    -2.24   0.025    -.4446718   -.0299282
      ivocat |  -.0142715     .05323    -0.27   0.789    -.1186558    .0901128
  nummar7592 |   .1244207   .0535468     2.32   0.020      .019415    .2294263
       _cons |    2.10644   .3180125     6.62   0.000     1.482816    2.730064
------------------------------------------------------------------------------

.                 estimates store numemp_fs

. 
. 
. * SUMMARY STATISTICS
. di "Summary statistics"
Summary statistics

. 
. * 1957
. xi: tabstat i.ipop57 zbeautyf female iqscore  pinc57 farmbg hssize indivarsports indischgovt indiservact total
>  hsrank /// 
> if female==0, columns(statistics) statistics(mean sd min max n) varwidth(16) f(%9.3f)
i.ipop57          _Iipop57_1-3        (naturally coded; _Iipop57_1 omitted)

        variable |      mean        sd       min       max         N
-----------------+--------------------------------------------------
      _Iipop57_2 |     0.368     0.482     0.000     1.000  3999.000
      _Iipop57_3 |     0.125     0.331     0.000     1.000  3999.000
        zbeautyf |     0.001     1.000    -2.936     3.108  3999.000
          female |     0.000     0.000     0.000     0.000  3999.000
         iqscore |     0.025     1.028    -2.661     2.984  3999.000
          pinc57 |     3.928     0.688     0.000     6.906  3794.000
          farmbg |     0.209     0.407     0.000     1.000  3999.000
          hssize |   180.181   134.794     6.000   482.000  3999.000
   indivarsports |     0.518     0.500     0.000     1.000  3999.000
     indischgovt |     0.183     0.387     0.000     1.000  3999.000
     indiservact |     0.135     0.341     0.000     1.000  3999.000
           total |     3.868     3.224     0.000    19.000  3999.000
          hsrank |    97.310    14.635    61.000   139.000  3777.000
--------------------------------------------------------------------

. 
. * 1975
. xi: tabstat i.ieduc74 pop74 exp74 mar74 tenure74 union74 outwis74 ind74 educ74 ivocat lwage74 fathed mothed fa
> thproex sibsnum ///
> fullhh  momemployed milty if female==0 & selfemp74==0 & lwage74<., columns(statistics) ///
> statistics(mean sd min max n) varwidth(16) f(%9.3f)
i.ieduc74         _Iieduc74_1-4       (naturally coded; _Iieduc74_1 omitted)

        variable |      mean        sd       min       max         N
-----------------+--------------------------------------------------
     _Iieduc74_2 |     0.142     0.349     0.000     1.000  2703.000
     _Iieduc74_3 |     0.147     0.354     0.000     1.000  2703.000
     _Iieduc74_4 |     0.165     0.371     0.000     1.000  2703.000
           pop74 |     1.214     3.825     0.001    78.949  2589.000
           exp74 |    12.470     4.954     0.000    18.000  2703.000
           mar74 |     0.886     0.318     0.000     1.000  2700.000
        tenure74 |     7.348     5.062     0.000    18.250  2701.000
         union74 |     0.390     0.488     0.000     1.000  2703.000
        outwis74 |     0.305     0.460     0.000     1.000  2703.000
           ind74 |     6.356     3.244     1.000    12.000  2702.000
          educ74 |    13.873     2.440    12.000    20.000  2703.000
          ivocat |     0.197     0.398     0.000     1.000  2703.000
         lwage74 |    10.626     0.323     9.584    11.566  2703.000
          fathed |     9.785     3.207     4.000    17.000  2647.000
          mothed |    10.619     2.678     5.000    16.000  2678.000
       fathproex |     0.107     0.309     0.000     1.000  2703.000
         sibsnum |     3.152     2.499     0.000    26.000  2702.000
          fullhh |     0.912     0.283     0.000     1.000  2702.000
     momemployed |     0.372     0.483     0.000     1.000  2697.000
           milty |     0.583     0.493     0.000     1.000  2703.000
--------------------------------------------------------------------

. 
. *1992
. xi: tabstat i.ieduc92 pop92 exp92 mar92 tenure92 union92 outwis92 ind92 educ92 lwage92 ///
> numempls92 health dead zheight selfacc92m purplife92m h3 h4 h5 ///
> extraver92m agreeable92m conscientious92m neurotic92m open92m  if female==0 & selfemp92==0 & lwage92<., column
> s(statistics) ///
> statistics(mean sd min max n) varwidth(16) f(%9.3f)
i.ieduc92         _Iieduc92_1-4       (naturally coded; _Iieduc92_1 omitted)

        variable |      mean        sd       min       max         N
-----------------+--------------------------------------------------
     _Iieduc92_2 |     0.160     0.367     0.000     1.000  2219.000
     _Iieduc92_3 |     0.155     0.362     0.000     1.000  2219.000
     _Iieduc92_4 |     0.190     0.393     0.000     1.000  2219.000
           pop92 |     4.574    10.095     0.046    88.632  2211.000
           exp92 |    30.263     5.794     0.000    37.000  2193.000
           mar92 |     0.857     0.350     0.000     1.000  2220.000
        tenure92 |    17.371    10.975     0.500    40.000  2208.000
         union92 |     0.137     0.344     0.000     1.000  2220.000
        outwis92 |     0.331     0.471     0.000     1.000  2220.000
           ind92 |     6.596     3.310     1.000    12.000  2214.000
          educ92 |    14.110     2.507    12.000    20.000  2219.000
         lwage92 |    10.654     0.522     8.987    12.206  2220.000
      numempls92 |     1.834     1.073     1.000     5.000  2217.000
          health |     4.155     0.629     1.000     5.000  1865.000
            dead |     0.163     0.370     0.000     1.000  2220.000
         zheight |    -0.009     1.016    -5.479     4.829  1857.000
      selfacc92m |    33.103     5.654     7.000    42.000  1840.000
     purplife92m |    33.960     5.272    11.000    42.000  1840.000
              h3 |     0.109     0.312     0.000     1.000  1865.000
              h4 |     0.616     0.487     0.000     1.000  1865.000
              h5 |     0.275     0.447     0.000     1.000  1865.000
     extraver92m |    22.452     5.255     6.000    36.000  1756.000
    agreeable92m |    27.628     4.435     8.000    36.000  1788.000
conscientious92m |    29.316     4.062    14.000    36.000  1780.000
     neurotic92m |    15.276     4.682     5.000    29.000  1785.000
         open92m |    21.878     4.483     8.000    35.000  1752.000
--------------------------------------------------------------------

. 
. *2011
. tabstat dead if female==0 , columns(statistics) statistics(mean sd min max n) varwidth(16) f(%9.3f)

        variable |      mean        sd       min       max         N
-----------------+--------------------------------------------------
            dead |     0.239     0.427     0.000     1.000  3999.000
--------------------------------------------------------------------

. 
. log c
      name:  <unnamed>
       log:  /project/hauser/users/ksicinsk/public/Papers with Karl/Earnings/Accepted (final)/Replication files/
> Scholz-Sicinski.log
  log type:  text
 closed on:   7 Aug 2014, 17:01:23
----------------------------------------------------------------------------------------------------------------
